Fetching the paper…
Reading the bibliography…
As AI systems move from generating text to accomplishing goals through sustained interaction, the ability to model environment dynamics becomes a central bottleneck.
I. nineteenth-century clouds over the dynamical theory of heat and light
L. Kelvin · 1901
Earlier work this paper cites.
Collected Papers of Charles Sanders Peirce , volume 2
C. S. Peirce · 1932
Earlier work this paper cites.
The Logic of Scientific Discovery
K. R. Popper · 1935
Earlier work this paper cites.
Physics and reality
A. Einstein · 1936
Earlier work this paper cites.
The Nature of Explanation
K. J. W. Craik · 1943
Earlier work this paper cites.
Computing machinery and intelligence
A. M. Turing · 1950
Earlier work this paper cites.
Two dogmas of empiricism
W. V. O. Quine · 1951
Earlier work this paper cites.
The Aim and Structure of Physical Theory
P. Duhem · 1954
Earlier work this paper cites.
The Structure of Scientific Revolutions
T. S. Kuhn · 1962
Earlier work this paper cites.
Semantical considerations on modal logic
S. A. Kripke · 1963
Earlier work this paper cites.
A theory of conditionals
R. C. Stalnaker · 1968
Earlier work this paper cites.
Some philosophical problems from the standpoint of artificial intelligence
J. McCarthy and P. J. Hayes · 1969
Earlier work this paper cites.
STRIPS: A new approach to the application of theorem proving to problem solving
R. E. Fikes and N. J. Nilsson · 1971
Earlier work this paper cites.
Counterfactuals
D. Lewis · 1973
Earlier work this paper cites.
Artificial intelligence: A general survey
J. Lighthill · 1973
Earlier work this paper cites.
The Methodology of Scientific Research Programmes , volume 1 of
I. Lakatos · 1978
Earlier work this paper cites.
Naming and Necessity
S. A. Kripke · 1980
Earlier work this paper cites.
Mental Models: Towards a Cognitive Science of Language, Inference, and Consciousness
P. N. Johnson-Laird · 1983
Earlier work this paper cites.
Learning representations by back-propagating errors
D. E. Rumelhart, G. E. Hinton, and R. J. Williams · 1986
Earlier work this paper cites.
Dyna, an integrated architecture for learning, planning, and reacting
R. S. Sutton · 1991
Earlier work this paper cites.
Republic
Plato · 1992
Earlier work this paper cites.
Markov Decision Processes: Discrete Stochastic Dynamic Programming
M. L. Puterman · 1994
Earlier work this paper cites.
CYC: A large-scale investment in knowledge infrastructure
D. B. Lenat · 1995
Earlier work this paper cites.
BDI agents: From theory to practice
A. S. Rao and M. P. Georgeff · 1995
Earlier work this paper cites.
The lack of a priori distinctions between learning algorithms
D. H. Wolpert · 1996
Earlier work this paper cites.
Solving the Frame Problem: A Mathematical Investigation of the Common Sense Law of Inertia
M. Shanahan · 1997
Earlier work this paper cites.
Planning and acting in partially observable stochastic domains
L. P. Kaelbling, M. L. Littman, and A. R. Cassandra · 1998
Earlier work this paper cites.
Gradient-based learning applied to document recognition
Y. LeCun, L. Bottou, Y. Bengio, and P. Haffner · 1998
Earlier work this paper cites.
Predictive coding in the visual cortex: a functional interpretation of some extra-classical receptive-field effects
R. P. N. Rao and D. H. Ballard · 1999
Earlier work this paper cites.
On the formal specification of electronic institutions
M. Esteva, J.-A. Rodriguez-Aguilar, C. Sierra, P. Garcia, and J. L. Arcos · 2001
Earlier work this paper cites.
Generalized neural-network representation of high-dimensional potential-energy surfaces
J. Behler and M. Parrinello · 2007
Earlier work this paper cites.
A game-theoretic approach to normative multi-agent systems
G. Boella and L. van der Torre · 2007
Earlier work this paper cites.
Causality: Models, Reasoning, and Inference
J. Pearl · 2009
Earlier work this paper cites.
The free-energy principle: A unified brain theory?
K. Friston · 2010
Earlier work this paper cites.
Towards robot scientists for autonomous scientific discovery
A. Sparkes, W. Aubrey, E. Byrne, A. Clare, M. N. Khan, M. Liakata, M. Markham, J. Rowland, L. N. Soldatova, K. E. Whelan, M. Young, and R. D. King · 2010
Earlier work this paper cites.
Bayesian theory of mind: Modeling joint belief-desire attribution
C. Baker, R. Saxe, and J. Tenenbaum · 2011
Earlier work this paper cites.
PILCO: A model-based and data-efficient approach to policy search
M. P. Deisenroth and C. E. Rasmussen · 2011
Earlier work this paper cites.
ImageNet classification with deep convolutional neural networks
A. Krizhevsky, I. Sutskever, and G. E. Hinton · 2012
Earlier work this paper cites.
MuJoCo: A physics engine for model-based control
E. Todorov, T. Erez, and Y. Tassa · 2012
Earlier work this paper cites.
Auditory closed-loop stimulation of the sleep slow oscillation enhances memory
H.-V. V. Ngo, T. Martinetz, J. Born, and M. Mölle · 2013
Earlier work this paper cites.
Fast transient networks in spontaneous human brain activity
A. P. Baker, M. J. Brookes, I. A. Rezek, S. M. Smith, T. Behrens, P. J. Probert Smith, and M. Woolrich · 2014
Earlier work this paper cites.
Entrainment of brain oscillations by transcranial alternating current stimulation
R. F. Helfrich, T. R. Schneider, S. Rach, S. A. Trautmann-Lengsfeld, A. K. Engel, and C. S. Herrmann · 2014
Earlier work this paper cites.
Auto-encoding variational Bayes
D. P. Kingma and M. Welling · 2014
Earlier work this paper cites.
Stochastic backpropagation and approximate inference in deep generative models
D. J. Rezende, S. Mohamed, and D. Wierstra · 2014
Earlier work this paper cites.
Surfing Uncertainty: Prediction, Action, and the Embodied Mind
A. Clark · 2015
Earlier work this paper cites.
Embed to control: A locally linear latent dynamics model for control from raw images
M. Watter, J. T. Springenberg, J. Boedecker, and M. Riedmiller · 2015
Earlier work this paper cites.
Learning to poke by poking: Experiential learning of intuitive physics
P. Agrawal, A. V. Nair, P. Abbeel, J. Malik, and S. Levine · 2016
Earlier work this paper cites.
Learning to learn by gradient descent by gradient descent
M. Andrychowicz, M. Denil, S. Gomez, M. W. Hoffman, D. Pfau, T. Schaul, B. Shillingford, and N. de Freitas · 2016
Earlier work this paper cites.
Deep learning , volume 1
I. Goodfellow, Y. Bengio, and A. Courville · 2016
Earlier work this paper cites.
Pragmatic language interpretation as probabilistic inference
N. D. Goodman and M. C. Frank · 2016
Earlier work this paper cites.
Learning to prune deep neural networks via layer-wise optimal brain surgeon
X. Dong, S. Chen, and S. Pan · 2017
Earlier work this paper cites.
Active inference: A process theory
K. Friston, T. FitzGerald, F. Rigoli, P. Schwartenbeck, and G. Pezzulo · 2017
Earlier work this paper cites.
β \beta -VAE: Learning basic visual concepts with a constrained variational framework
I. Higgins, L. Matthey, A. Pal, C. Burgess, X. Glorot, M. Botvinick, S. Mohamed, and A. Lerchner · 2017
Earlier work this paper cites.
A conflict-free replicated JSON datatype
M. Kleppmann and A. R. Beresford · 2017
Earlier work this paper cites.
Building machines that learn and think like people
B. M. Lake, T. D. Ullman, J. B. Tenenbaum, and S. J. Gershman · 2017
Earlier work this paper cites.
Predicting evolution
M. Lassig, V. Mustonen, and A. M. Walczak · 2017
Earlier work this paper cites.
Deal or no deal? end-to-end learning of negotiation dialogues
M. Lewis, D. Yarats, Y. Dauphin, D. Parikh, and D. Batra · 2017
Earlier work this paper cites.
Curiosity-driven exploration by self-supervised prediction
D. Pathak, P. Agrawal, A. A. Efros, and T. Darrell · 2017
Earlier work this paper cites.
SchNet: A continuous-filter convolutional neural network for modeling quantum interactions
K. T. Schütt, P.-J. Kindermans, H. E. Sauceda, S. Chmiela, A. Tkatchenko, and K.-R. Müller · 2017
Earlier work this paper cites.
World of bits: An open-domain platform for web-based agents
T. Shi, A. Karpathy, L. Fan, J. Hernandez, and P. Liang · 2017
Earlier work this paper cites.
Domain randomization for transferring deep neural networks from simulation to the real world
J. Tobin, R. Fong, A. Ray, J. Schneider, W. Zaremba, and P. Abbeel · 2017
Earlier work this paper cites.
Neural discrete representation learning
A. van den Oord, O. Vinyals, and K. Kavukcuoglu · 2017
Earlier work this paper cites.
Attention is all you need
A. Vaswani, N. Shazeer, N. Parmar, J. Uszkoreit, L. Jones, A. N. Gomez, L. Kaiser, and I. Polosukhin · 2017
Earlier work this paper cites.
Stochastic variational video prediction
M. Babaeizadeh, C. Finn, D. Erhan, R. H. Campbell, and S. Levine · 2018
Earlier work this paper cites.
Deep reinforcement learning in a handful of trials using probabilistic dynamics models
K. Chua, R. Calandra, R. McAllister, and S. Levine · 2018
Earlier work this paper cites.
Imagenet-trained cnns are biased towards texture; increasing shape bias improves accuracy and robustness
R. Geirhos, P. Rubisch, C. Michaelis, M. Bethge, F. A. Wichmann, and W. Brendel · 2018
Earlier work this paper cites.
Recurrent world models facilitate policy evolution
D. Ha and J. Schmidhuber · 2018
Earlier work this paper cites.
Decoupling strategy and generation in negotiation dialogues
H. He, D. Chen, A. Balakrishnan, and P. Liang · 2018
Earlier work this paper cites.
Deep reinforcement learning that matters
P. Henderson, R. Islam, P. Bachman, J. Pineau, D. Precup, and D. Meger · 2018
Earlier work this paper cites.
State representation learning for control: An overview
T. Lesort, N. Diaz-Rodríguez, J.-F. Goudou, and D. Filliat · 2018
Earlier work this paper cites.
Deep learning: A critical appraisal
G. Marcus · 2018
Earlier work this paper cites.
Neural network dynamics for model-based deep reinforcement learning with model-free fine-tuning
A. Nagabandi, G. Kahn, R. S. Fearing, and S. Levine · 2018
Earlier work this paper cites.
Representation learning with contrastive predictive coding
A. v. d. Oord, Y. Li, and O. Vinyals · 2018
Earlier work this paper cites.
VirtualHome: Simulating household activities via programs
X. Puig, K. Ra, M. Boben, J. Li, T. Wang, S. Fidler, and A. Torralba · 2018
Earlier work this paper cites.
Machine theory of mind
N. Rabinowitz, F. Perbet, F. Song, C. Zhang, S. A. Eslami, and M. Botvinick · 2018
Earlier work this paper cites.
Towards accurate generative models of video: A new metric & challenges
T. Unterthiner, S. van Steenkiste, K. Kurach, R. Marinier, M. Michalski, and S. Gelly · 2018
Earlier work this paper cites.
Spontaneous cortical activity transiently organises into frequency specific phase-coupling networks
D. Vidaurre, L. T. Hunt, A. J. Quinn, B. A. Hunt, M. J. Brookes, A. C. Nobre, and M. W. Woolrich · 2018
Earlier work this paper cites.
Closed-loop cycles of experiment design, execution, and learning accelerate systems biology model development in yeast
A. Coutant, K. Roper, D. Trejo-Banos, D. Bouthinon, M. Carpenter, J. Grzebyta, G. Santini, H. Soldano, M. Elati, J. Ramon, C. Rouveirol, L. N. Soldatova, and R. D. King · 2019
Earlier work this paper cites.
Centripetal sgd for pruning very deep convolutional networks with complicated structure
X. Ding, G. Ding, Y. Guo, and J. Han · 2019
Earlier work this paper cites.
DeepMDP: Learning continuous latent space models for representation learning
C. Gelada, S. Kumar, J. Buckman, O. Nachum, and M. G. Bellemare · 2019
Earlier work this paper cites.
Learning latent dynamics for planning from pixels
D. Hafner, T. Lillicrap, I. Fischer, R. Villegas, D. Ha, H. Lee, and J. Davidson · 2019
Earlier work this paper cites.
When to trust your model: Model-based policy optimization
M. Janner, J. Fu, M. Zhang, and S. Levine · 2019
Earlier work this paper cites.
Revisiting the evaluation of theory of mind through question answering
M. Le, Y.-L. Boureau, and M. Nickel · 2019
Earlier work this paper cites.
A signal propagation perspective for pruning neural networks at initialization
N. Lee, T. Ajanthan, S. Gould, and P. H. Torr · 2019
Earlier work this paper cites.
Boltzmann generators: Sampling equilibrium states of many-body systems with deep learning
F. Noé, S. Olsson, J. Köhler, and H. Wu · 2019
Earlier work this paper cites.
Habitat: A platform for embodied AI research
M. Savva, A. Kadian, O. Maksymets, Y. Zhao, E. Wijmans, B. Jain, J. Straub, J. Liu, V. Koltun, J. Malik, D. Parikh, and D. Batra · 2019
Earlier work this paper cites.
Persuasion for good: Towards a personalized persuasive dialogue system for social good
X. Wang, W. Shi, R. Kim, Y. Oh, S. Yang, J. Zhang, and Z. Yu · 2019
Earlier work this paper cites.
Population-based black-box optimization for biological sequence design
C. Angermueller, D. Belanger, A. Gane, Z. Mariet, D. Dohan, K. Murphy, L. Colwell, and D. Sculley · 2020
Earlier work this paper cites.
Language models are few-shot learners
T. B. Brown, B. Mann, N. Ryder, M. Subbiah, J. D. Kaplan, P. Dhariwal, A. Neelakantan, P. Shyam, G. Sastry, A. Askell, S. Agarwal, A. Herbert-Voss, G. Krueger, T. Henighan, R. Child, A. Ramesh, D. M. Ziegler, J. Wu, C. Winter, C. Hesse, M. Chen, E. Sigler, M. Litwin, S. Gray, B. Chess, J. Clark, C. Berner, S. McCandlish, A. Radford, I. Sutskever, and D. Amodei · 2020
Earlier work this paper cites.
nuScenes: A multimodal dataset for autonomous driving
H. Caesar, V. Bankiti, A. H. Lang, S. Vora, V. E. Liong, Q. Xu, A. Krishnan, Y. Pan, G. Baldan, and O. Beijbom · 2020
Earlier work this paper cites.
A simple framework for contrastive learning of visual representations
T. Chen, S. Kornblith, M. Norouzi, and G. Hinton · 2020
Earlier work this paper cites.
Dream to control: Learning behaviors by latent imagination
D. Hafner, T. Lillicrap, J. Ba, and M. Norouzi · 2020
Earlier work this paper cites.
Momentum contrast for unsupervised visual representation learning
K. He, H. Fan, Y. Wu, S. Xie, and R. Girshick · 2020
Earlier work this paper cites.
Denoising diffusion probabilistic models
J. Ho, A. Jain, and P. Abbeel · 2020
Earlier work this paper cites.
Causal discovery from heterogeneous/nonstationary data
B. Huang, K. Zhang, J. Zhang, J. Ramsey, R. Sanchez-Romero, C. Glymour, and B. Schölkopf · 2020
Earlier work this paper cites.
RLBench: The robot learning benchmark & learning environment
S. James, Z. Ma, D. R. Arrojo, and A. J. Davison · 2020
Earlier work this paper cites.
Model-based reinforcement learning for Atari
L. Kaiser, M. Babaeizadeh, P. Milos, B. Osinski, R. H. Campbell, K. Czechowski, D. Erhan, C. Finn, P. Kozakowski, S. Levine, A. Mohiuddin, R. Sepassi, G. Tucker, and H. Michalewski · 2020
Earlier work this paper cites.
Learning to simulate dynamic environments with GameGAN
S. W. Kim, Y. Zhou, J. Philion, A. Torralba, and S. Fidler · 2020
Earlier work this paper cites.
ChemBO: Bayesian optimization of small organic molecules with synthesizable recommendations
K. Korovina, S. Xu, K. Kandasamy, W. Neiswanger, B. Poczos, J. Schneider, and E. Xing · 2020
Earlier work this paper cites.
On-the-fly closed-loop materials discovery via Bayesian active learning
A. G. Kusne, H. Yu, C. Wu, H. Zhang, J. Hattrick-Simpers, B. DeCost, S. Sarker, C. Oses, C. Toher, S. Curtarolo, A. V. Davydov, R. Agarwal, L. A. Bendersky, M. Li, A. Mehta, and I. Takeuchi · 2020
Earlier work this paper cites.
CURL: Contrastive unsupervised representations for reinforcement learning
M. Laskin, A. Srinivas, and P. Abbeel · 2020
Earlier work this paper cites.
Machine learning for molecular simulation
F. Noé, A. Tkatchenko, K.-R. Müller, and C. Clementi · 2020
Earlier work this paper cites.
Lookahead: A far-sighted alternative of magnitude-based pruning
S. Park, J. Lee, S. Mo, and J. Shin · 2020
Earlier work this paper cites.
Learning to simulate complex physics with graph networks
A. Sanchez-Gonzalez, J. Godwin, T. Pfaff, R. Ying, J. Leskovec, and P. Battaglia · 2020
Earlier work this paper cites.
Movement pruning: Adaptive sparsity by fine-tuning
V. Sanh, T. Wolf, and A. Rush · 2020
Earlier work this paper cites.
Mastering Atari, Go, chess and shogi by planning with a learned model
J. Schrittwieser, I. Antonoglou, T. Hubert, K. Simonyan, L. Sifre, S. Schmitt, A. Guez, E. Lockhart, D. Hassabis, T. Graepel, T. Lillicrap, and D. Silver · 2020
Earlier work this paper cites.
Planning to explore via self-supervised world models
R. Sekar, O. Rybkin, K. Daniilidis, P. Abbeel, D. Hafner, and D. Pathak · 2020
Earlier work this paper cites.
Improved protein structure prediction using potentials from deep learning
A. W. Senior, R. Evans, J. Jumper, J. Kirkpatrick, L. Sifre, T. Green, C. Qin, A. Žídek, A. W. R. Nelson, A. Bridgland, H. Penedones, S. Petersen, K. Simonyan, S. Crossan, P. Kohli, D. T. Jones, D. Silver, K. Kavukcuoglu, and D. Hassabis · 2020
Earlier work this paper cites.
dm_control: Software and tasks for continuous control
Y. Tassa, S. Tunyasuvunakool, A. Muldal, Y. Doron, P. Trochim, S. Liu, S. Bohez, J. Merel, T. Erez, T. Lillicrap, and N. Heess · 2020
Earlier work this paper cites.
SAPIEN: A simulated part-based interactive environment
F. Xiang, Y. Qin, K. Mo, Y. Xia, H. Zhu, F. Liu, M. Liu, H. Jiang, Y. Yuan, H. Wang, L. Yi, A. X. Chang, L. J. Guibas, and H. Su · 2020
Earlier work this paper cites.
Meta-World: A benchmark and evaluation for multi-task and meta reinforcement learning
T. Yu, D. Quillen, Z. He, R. Julian, K. Hausman, C. Finn, and S. Levine · 2020
Earlier work this paper cites.
Deep reinforcement learning at the edge of the statistical precipice
R. Agarwal, M. Schwarzer, P. S. Castro, A. C. Courville, and M. G. Bellemare · 2021
Earlier work this paper cites.
Accurate prediction of protein structures and interactions using a three-track neural network
M. Baek, F. DiMaio, I. Anishchenko, J. Dauparas, S. Ovchinnikov, G. R. Lee, J. Wang, Q. Cong, L. N. Kinch, R. D. Schaeffer, C. Millán, H. Park, C. Adams, C. R. Glassman, A. DeGiovanni, J. H. Pereira, A. V. Rodrigues, A. A. van Dijk, A. C. Ebrecht, D. J. Opperman, T. Sagmeister, C. Buhlheller, T. Pavkov-Keller, M. K. Rathinaswamy, U. Dalwadi, C. K. Yip, J. E. Burke, K. C. Garcia, N. V. Grishin, P. D. Adams, R. J. Read, and D. Baker · 2021
Earlier work this paper cites.
Brax – a differentiable physics engine for large scale rigid body simulation
C. D. Freeman, E. Frey, A. Raichuk, S. Girgin, I. Mordatch, and O. Bachem · 2021
Earlier work this paper cites.
Learning to reach goals via iterated supervised learning
D. Ghosh, A. Gupta, A. Reddy, J. Fu, C. Devin, B. Eysenbach, and S. Levine · 2021
Earlier work this paper cites.
Mastering Atari with discrete world models
D. Hafner, T. Lillicrap, M. Norouzi, and J. Ba · 2021
Earlier work this paper cites.
The hardware lottery
S. Hooker · 2021
Earlier work this paper cites.
Highly accurate protein structure prediction with AlphaFold
J. Jumper, R. Evans, A. Pritzel, T. Green, M. Figurnov, O. Ronneberger, K. Tunyasuvunakool, R. Bates, A. Žídek, A. Potapenko, A. Bridgland, C. Meyer, S. A. A. Kohl, A. J. Ballard, A. Cowie, B. Romera-Paredes, S. Nikolov, R. Jain, J. Adler, T. Back, S. Petersen, D. Reiman, E. Clancy, M. Zielinski, M. Steinegger, M. Pacholska, T. Berghammer, S. Bodenstein, D. Silver, O. Vinyals, A. W. Senior, K. Kavukcuoglu, P. Kohli, and D. Hassabis · 2021
Cited alongside, same era.
Physics-informed machine learning
G. E. Karniadakis, I. G. Kevrekidis, L. Lu, P. Perdikaris, S. Wang, and L. Yang · 2021
Cited alongside, same era.
PathDreamer: A world model for indoor navigation
J. Y. Koh, H. Lee, Y. Yang, J. Baldridge, and P. Anderson · 2021
Cited alongside, same era.
Scalable evaluation of multi-agent reinforcement learning with melting pot
J. Z. Leibo, E. A. Duéñez-Guzmán, A. S. Vezhnevets, J. P. Agapiou, P. Sunehag, R. Koster, J. Matyas, C. Beattie, I. Mordatch, and T. Graepel · 2021
Cited alongside, same era.
Group fisher pruning for practical network compression
L. Liu, S. Zhang, Z. Kuang, A. Zhou, J.-H. Xue, X. Wang, Y. Chen, W. Yang, Q. Liao, and W. Zhang · 2021
Cited alongside, same era.
Mathematical discoveries from program search with large language models
B. Romera-Paredes, M. Barekatain, A. Novikov, M. Balog, M. P. Kumar, E. Dupont, F. J. R. Ruiz, J. S. Ellenberg, P. Wang, O. Fawzi, P. Kohli, and A. Fawzi · 2024
Later among the works it cites.
Align your steps: Optimizing sampling schedules in diffusion models
A. Sabour, S. Fidler, and K. Kreis · 2024
Later among the works it cites.
LaMP: When large language models meet personalization
A. Salemi, S. Mysore, M. Bendersky, and H. Zamani · 2024
Later among the works it cites.
Multistep distillation of diffusion models via moment matching
T. Salimans, T. Mensink, J. Heek, and E. Hoogeboom · 2024
Later among the works it cites.
Explore theory of mind: Program-guided adversarial data generation for theory of mind reasoning
M. Sclar, J. Yu, M. Fazel-Zarandi, Y. Tsvetkov, Y. Bisk, Y. Choi, and A. Celikyilmaz · 2024
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Isaac Gym: High performance GPU-based physics simulation for robot learning
V. Makoviychuk, L. Wawrzyniak, Y. Guo, M. Lu, K. Storey, M. Macklin, D. Hoeller, N. Rudin, A. Allshire, A. Handa, and G. State · 2021
Cited alongside, same era.
Data-efficient reinforcement learning with self-predictive representations
M. Schwarzer, A. Anand, R. Goel, R. D. Hjelm, A. Courville, and P. Bachman · 2021
Cited alongside, same era.
Habitat 2.0: Training home assistants to rearrange their habitat
A. Szot, A. Clegg, E. Undersander, E. Wijmans, Y. Zhao, J. Turner, N. Maestre, M. Mukadam, D. Chaplot, O. Maksymets, A. Gokaslan, V. Vondrus, S. Dharur, F. Meier, W. Galuba, A. Chang, Z. Kira, V. Koltun, J. Malik, M. Savva, and D. Batra · 2021
Cited alongside, same era.
Maintenance of social commitments in multiagent systems
P. R. Telang, M. P. Singh, and N. Yorke-Smith · 2021
Cited alongside, same era.
Mastering atari games with limited data
W. Ye, S. Liu, T. Kurutach, P. Abbeel, and Y. Gao · 2021
Cited alongside, same era.
Video PreTraining (VPT): Learning to act by watching unlabeled online videos
B. Baker, I. Akkaya, P. Zhokhov, J. Huizinga, J. Tang, A. Ecoffet, B. Houghton, R. Sampedro, and J. Clune · 2022
Cited alongside, same era.
Human-level play in the game of diplomacy by combining language models with strategic reasoning
A. Bakhtin, N. Brown, E. Dinan, G. Farina, C. Flaherty, D. Fried, A. Goff, J. Gray, H. Hu, A. P. Jacob, M. Komeili, K. Konath, et al · 2022
Cited alongside, same era.
A framework for strategic discovery of credible neural network surrogate models under uncertainty
P. K. Singh, K. A. Farrell-Maupin, and D. Faghihi · 2024
Later among the works it cites.
Improved techniques for training consistency models
Y. Song and P. Dhariwal · 2024
Later among the works it cites.
Delocalized, asynchronous, closed-loop discovery of organic laser emitters
F. Strieth-Kalthoff, H. Hao, V. Rathore, J. Derasp, T. Gaudin, N. H. Angello, M. Seifrid, E. Trushina, M. Guy, J. Liu, X. Tang, M. Mamada, et al · 2024
Later among the works it cites.
Cognitive architectures for language agents
T. R. Sumers, S. Yao, K. Narasimhan, and T. L. Griffiths · 2024
Later among the works it cites.
WorldCoder, a model-based LLM agent: Building world models by writing code and interacting with the environment
H. Tang, D. Key, and K. Ellis · 2024
Later among the works it cites.
ManiSkill3: GPU parallelized robotics simulation and rendering for generalizable embodied ai
S. Tao, F. Xiang, A. Shukla, Y. Qin, X. Hinrichsen, X. Yuan, C. Bao, X. Lin, Y. Liu, T. kai Chan, Y. Gao, X. Li, T. Mu, N. Xiao, A. Gurha, V. N. Rajesh, Y. W. Choi, Y.-R. Chen, Z. Huang, R. Calandra, R. Chen, S. Luo, and H. Su · 2024
Later among the works it cites.
Systematic biases in LLM simulations of debates
A. Taubenfeld, Y. Dover, R. Reichart, and A. Goldstein · 2024
Later among the works it cites.
Evaluating the world model implicit in a generative model
K. Vafa, J. Y. Chen, A. Rambachan, J. Kleinberg, and S. Mullainathan · 2024
Later among the works it cites.
Continual learning and catastrophic forgetting
G. M. van de Ven, N. Soures, and D. Kudithipudi · 2024
Later among the works it cites.
Think twice: Perspective-taking improves large language models’ theory-of-mind capabilities
A. Wilf, S. Lee, P. P. Liang, and L.-P. Morency · 2024
Later among the works it cites.
Video2Game: Real-time, interactive, realistic and browser-compatible environment from a single video
H. Xia, Z.-H. Lin, W.-C. Ma, and S. Wang · 2024
Later among the works it cites.
Efficient streaming language models with attention sinks
G. Xiao, Y. Tian, B. Chen, S. Han, and M. Lewis · 2024
Later among the works it cites.
OSWorld: Benchmarking multimodal agents for open-ended tasks in real computer environments
T. Xie, D. Zhang, J. Chen, X. Li, S. Zhao, R. Cao, T. J. Hua, Z. Cheng, D. Shin, F. Lei, Y. Liu, Y. Xu, S. Zhou, S. Savarese, C. Xiong, V. Zhong, and T. Yu · 2024
Later among the works it cites.
DynamiCrafter: Animating open-domain images with video diffusion priors
J. Xing, M. Xia, Y. Zhang, H. Chen, W. Yu, H. Liu, X. Wang, T.-T. Wong, and Y. Shan · 2024
Later among the works it cites.
HM3D-OVON: A dataset and benchmark for open-vocabulary object goal navigation
N. Yokoyama, R. Ramrakhya, A. Das, D. Batra, and S. Ha · 2024
Later among the works it cites.
World models: The safety perspective
Z. Zeng, C. Zhang, F. Liu, J. Sifakis, Q. Zhang, S. Liu, and P. Wang · 2024
Later among the works it cites.
Bundle adjustment in the eager mode
Z. Zhan, H. Xu, Z. Fang, X. Wei, Y. Hu, and C. Wang · 2024
Later among the works it cites.
T. Zhao, T. Fang, H. Huang, E. Liu, R. Wan, W. Soedarmadji, S. Li, Z. Lin, G. Dai, S. Yan, H. Yang, X. Ning, and Y. Wang · 2024
Later among the works it cites.
OccWorld: Learning a 3D occupancy world model for autonomous driving
W. Zheng, W. Chen, Y. Huang, B. Zhang, Y. Duan, and J. Lu · 2024
Later among the works it cites.
Is Sora a world simulator? a comprehensive survey on general world models and beyond
Z. Zhu, X. Wang, W. Zhao, C. Min, B. Li, N. Deng, M. Dou, Y. Wang, B. Shi, K. Wang, C. Zhang, Y. You, Z. Zhang, D. Zhao, L. Xiao, J. Zhao, J. Lu, and G. Huang · 2024
Later among the works it cites.
Cosmos world foundation model platform for physical AI
N. Agarwal, A. Ali, M. Bala, Y. Balaji, E. Barker, T. Cai, P. Chattopadhyay, Y. Chen, Y. Cui, Y. Ding, D. Dworakowski, J. Fan, M. Fenzi, F. Ferroni, S. Fidler, D. Fox, S. Ge, Y. Ge, J. Gu, S. Gururani, E. He, J. Huang, J. Huffman, P. Jannaty, J. Jin, S. W. Kim, G. Klár, G. Lam, S. Lan, L. Leal-Taixe, A. Li, Z. Li, C.-H. Lin, T.-Y. Lin, H. Ling, M.-Y. Liu, X. Liu, A. Luo, Q. Ma, H. Mao, K. Mo, A. Mousavian, S. Nah, S. Niverty, D. Page, D. Paschalidou, Z. Patel, L. Pavao, M. Ramezanali, F. Reda, X. Ren, V. R. N. Sabavat, E. Schmerling, S. Shi, B. Stefaniak, S. Tang, L. Tchapmi, P. Tredak, W.-C. Tseng, J. Varghese, H. Wang, H. Wang, H. Wang, T.-C. Wang, F. Wei, X. Wei, J. Z. Wu, J. Xu, W. Yang, L. Yen-Chen, X. Zeng, Y. Zeng, J. Zhang, Q. Zhang, Y. Zhang, Q. Zhao, and A. Zolkowski · 2025
Later among the works it cites.
Effective context engineering for AI agents
Anthropic · 2025
Later among the works it cites.
Emergent social conventions and collective bias in LLM populations
A. F. Ashery, L. M. Aiello, and A. Baronchelli · 2025
Later among the works it cites.
V-JEPA 2: Self-supervised video models enable understanding, prediction and planning
M. Assran, A. Bardes, D. Fan, Q. Garrido, R. Howes, Mojtaba, Komeili, M. Muckley, A. Rizvi, C. Roberts, K. Sinha, A. Zholus, S. Arnaud, A. Gejji, A. Martin, F. R. Hogan, D. Dugas, P. Bojanowski, V. Khalidov, P. Labatut, F. Massa, M. Szafraniec, K. Krishnakumar, Y. Li, X. Ma, S. Chandar, F. Meier, Y. LeCun, M. Rabbat, and N. Ballas · 2025
Later among the works it cites.
Genie 3: A new frontier for world models, 2025
P. J. Ball, J. Bauer, F. Belletti, B. Brownfield, A. Ephrat, S. Fruchter, A. Gupta, K. Holsheimer, A. Holynski, J. Hron, C. Kaplanis, M. Limont, M. McGill, Y. Oliveira, J. Parker-Holder, F. Perbet, G. Scully, J. Shar, S. Spencer, O. Tov, R. Villegas, E. Wang, J. Yung, C. Baetu, J. Berbel, D. Bridson, J. Bruce, G. Buttimore, S. Chakera, B. Chandra, P. Collins, A. Cullum, B. Damoc, V. Dasagi, M. Gazeau, C. Gbadamosi, W. Han, E. Hirst, A. Kachra, L. Kerley, K. Kjems, E. Knoepfel, V. Koriakin, J. Lo, C. Lu, Z. Mehring, A. Moufarek, H. Nandwani, V. Oliveira, F. Pardo, J. Park, A. Pierson, B. Poole, H. Ran, T. Salimans, M. Sanchez, I. Saprykin, A. Shen, S. Sidhwani, D. Smith, J. Stanton, H. Tomlinson, D. Vijaykumar, L. Wang, P. Wingfield, N. Wong, K. Xu, C. Yew, N. Young, V. Zubov, D. Eck, D. Erhan, K. Kavukcuoglu, D. Hassabis, Z. Gharamani, R. Hadsell, A. van den Oord, I. Mosseri, A. Bolton, S. Singh, and T. Rocktäschel · 2025
Later among the works it cites.
DynamicCity: Large-scale 4D occupancy generation from dynamic scenes
H. Bian, L. Kong, H. Xie, L. Pan, Y. Qiao, and Z. Liu · 2025
Later among the works it cites.
A foundation model for the earth system
C. Bodnar, W. P. Bruinsma, A. Lucic, M. Stanley, A. Allen, J. Brandstetter, P. Garvan, M. Riechert, J. A. Weyn, H. Dong, J. K. Gupta, K. Thambiratnam, A. T. Archibald, C.-C. Wu, E. Heider, M. Welling, R. E. Turner, and P. Perdikaris · 2025
Later among the works it cites.
Flow map matching with stochastic interpolants: A mathematical framework for consistency models
N. M. Boffi, M. S. Albergo, and E. Vanden-Eijnden · 2025
Later among the works it cites.
Web agents with world models: Learning and leveraging environment dynamics in web navigation
H. Chae, N. Kim, K. T.-i. Ong, M. Gwak, G. Song, J. Kim, S. Kim, D. Lee, and J. Yeo · 2025
Later among the works it cites.
Gaf: Gaussian action field as a 4d representation for dynamic world modeling in robotic manipulation
Y. Chai, L. Deng, R. Shao, J. Zhang, K. Lv, L. Xing, X. Li, H. Zhang, and Y. Liu · 2025
Later among the works it cites.
CWM: An open-weights LLM for research on code generation with world models
J. Copet, Q. Carbonneaux, G. Cohen, J. Gehring, J. Kahn, J. Kossen, F. Kreuk, E. McMilin, M. Meyer, Y. Wei, D. Zhang, K. Zheng, J. Armengol-Estapé, P. Bashiri, M. Beck, et al · 2025
Later among the works it cites.
The traitors: Deception and trust in multi-agent language model simulations
P. M. Curvo · 2025
Later among the works it cites.
V. Dignum and F. Dignum · 2025
Later among the works it cites.
Towards unified world models for visual navigation via memory-augmented planning and foresight
Y. Dong, F. Wu, G. Chen, L. Kong, X. Zhu, Q. Hu, Y. Zhou, J. Sun, J.-Y. He, Q. Dai, A. G. Hauptmann, and Z.-Q. Cheng · 2025
Later among the works it cites.
WebEvolver: Enhancing web agent self-improvement with coevolving world model
T. Fang, H. Zhang, Z. Zhang, K. Ma, W. Yu, H. Mi, and D. Yu · 2025
Later among the works it cites.
One step diffusion via shortcut models
K. Frans, D. Hafner, S. Levine, and P. Abbeel · 2025
Later among the works it cites.
WebSynthesis: World-model-guided MCTS for efficient WebUI-trajectory synthesis
Y. Gao, J. Ye, J. Wang, and J. Sang · 2025
Later among the works it cites.
Builderbench: The building blocks of intelligent agents
R. Ghugare, R. C. Castanyer, C. Ji, K. Wantlin, J. Schofield, K. Narasimhan, and B. Eysenbach · 2025
Later among the works it cites.
J. Gottweis, W.-H. Weng, A. Daryin, T. Tu, A. Palepu, P. Sirkovic, A. Myaskovsky, F. Weissenberger, K. Rong, R. Tanno, K. Saab, D. Popovici, J. Blum, F. Zhang, K. Chou, A. Hassidim, B. Gokturk, A. Vahdat, P. Kohli, Y. Matias, A. Carroll, K. Kulkarni, N. Tomasev, Y. Guan, V. Dhillon, E. D. Vaishnav, B. Lee, T. R. D. Costa, J. R. Penadés, G. Peltz, Y. Xu, A. Pawlosky, A. Karthikesalingam, and V. Natarajan · 2025
Later among the works it cites.
Mastering diverse control tasks through world models
D. Hafner, J. Pasukonis, J. Ba, and T. Lillicrap · 2025
Later among the works it cites.
Neural motion simulator: Pushing the limit of world models in reinforcement learning
C. Hao, W. Lu, Y. Xu, and Y. Chen · 2025
Later among the works it cites.
Biomni: A general-purpose biomedical AI agent
K. Huang, S. Zhang, H. Wang, Y. Qu, Y. Lu, Y. Roohani, R. Li, L. Qiu, G. Li, J. Zhang, D. Yin, S. Marwaha, J. N. Carter, X. Zhou, M. Wheeler, J. A. Bernstein, M. Wang, P. He, J. Zhou, M. Snyder, L. Cong, A. Regev, and J. Leskovec · 2025
Later among the works it cites.
BioLab: End-to-end autonomous life sciences research with multi-agents system integrating biological foundation models
R. Jin, Y. Guo, Y. Qu, M. Yang, C. Shang, Q. Yang, L. Chao, Y. Zhou, R. Xu, Z. Xu, R. Zhou, Z. Zhang, M. Wang, X. Zhang, and L. Cong · 2025
Later among the works it cites.
WAREX: Web agent reliability evaluation on existing benchmarks
S. Kara, F. E. Faisal, and S. Nath · 2025
Later among the works it cites.
Hypothesis-driven theory-of-mind reasoning for large language models
H. Kim, M. Sclar, T. Zhi-Xuan, L. Ying, S. Levine, Y. Liu, J. B. Tenenbaum, and Y. Choi · 2025
Later among the works it cites.
3D and 4D world modeling: A survey
L. Kong, W. Yang, J. Mei, Y. Liu, A. Liang, D. Zhu, D. Lu, W. Yin, X. Hu, M. Jia, J. Deng, K. Zhang, Y. Wu, T. Yan, S. Gao, S. Wang, L. Li, L. Pan, Y. Liu, J. Zhu, W. T. Ooi, S. C. H. Hoi, and Z. Liu · 2025
Later among the works it cites.
Code world models for general game playing
W. Lehrach, D. Hennes, M. Lazaro-Gredilla, X. Lou, C. Wendelken, Z. Li, A. Dedieu, J. Grau-Moya, M. Lanctot, A. Iscen, J. Schultz, M. Chiam, I. Gemp, P. Zielinski, S. Singh, and K. P. Murphy · 2025
Later among the works it cites.
S. Lian, Y. Wu, J. Ma, Y. Ding, Z. Song, B. Chen, X. Zheng, and H. Li · 2025
Later among the works it cites.
Vlog: Video-language models by generative retrieval of narration vocabulary
K. Q. Lin and M. Z. Shou · 2025
Later among the works it cites.
World model on million-length video and language with blockwise ringattention
H. Liu, W. Yan, M. Zaharia, and P. Abbeel · 2025
Later among the works it cites.
Simplifying, stabilizing and scaling continuous-time consistency models
C. Lu and Y. Song · 2025
Later among the works it cites.
ViMo: A generative visual GUI world model for app agents
D. Luo, B. Tang, K. Li, G. Papoudakis, J. Song, S. Gong, J. Hao, J. Wang, and K. Shao · 2025
Later among the works it cites.
DiscoveryBench: Towards data-driven discovery with large language models
B. P. Majumder, H. Surana, D. Agarwal, B. D. Mishra, A. Meena, A. Prakhar, T. Vora, T. Khot, A. Sabharwal, and P. Clark · 2025
Later among the works it cites.
Yume-1.5: A text-controlled interactive world generation model
X. Mao, Z. Li, C. Li, X. Xu, K. Ying, T. He, J. Pang, Y. Qiao, and K. Zhang · 2025
Later among the works it cites.
Scaling law of Sim2Real transfer learning in expanding computational materials databases for real-world predictions
S. Minami, Y. Hayashi, S. Wu, K. Fukumizu, H. Sugisawa, M. Ishii, I. Kuwajima, K. Shiratori, and R. Yoshida · 2025
Later among the works it cites.
Isaac Lab: A GPU-accelerated simulation framework for multi-modal robot learning
M. Mittal, P. Roth, J. Tigue, A. Richard, O. Zhang, P. Du, A. Serrano-Muñoz, X. Yao, R. Zurbrügg, N. Rudin, L. Wawrzyniak, M. Rakhsha, A. Denzler, E. Heiden, A. Borovicka, O. Ahmed, I. Akinola, A. Anwar, M. T. Carlson, J. Y. Feng, A. Garg, R. Gasoto, L. Gulich, Y. Guo, M. Gussert, A. Hansen, M. Kulkarni, C. Li, W. Liu, V. Makoviychuk, G. Malczyk, H. Mazhar, M. Moghani, A. Murali, M. Noseworthy, A. Poddubny, N. Ratliff, W. Rehberg, C. Schwarke, R. Singh, J. L. Smith, B. Tang, R. Thaker, M. Trepte, K. V. Wyk, F. Yu, A. Millane, V. Ramasamy, R. Steiner, S. Subramanian, C. Volk, C. Chen, N. Jawale, A. V. Kuruttukulam, M. A. Lin, A. Mandlekar, K. Patzwaldt, J. Welsh, H. Zhao, F. Anes, J.-F. Lafleche, N. Moënne-Loccoz, S. Park, R. Stepinski, D. V. Gelder, C. Amevor, J. Carius, J. Chang, A. H. Chen, P. de Heras Ciechomski, G. Daviet, M. Mohajerani, J. von Muralt, V. Reutskyy, M. Sauter, S. Schirm, E. L. Shi, P. Terdiman, K. Vilella, T. Widmer, G. Yeoman, T. Chen, S. Grizan, C. Li, L. Li, C. Smith, R. Wiltz, K. Alexis, Y. Chang, D. Chu, L. J. Fan, F. Farshidian, A. Handa, S. Huang, M. Hutter, Y. Narang, S. Pouya, S. Sheng, Y. Zhu, M. Macklin, A. Moravanszky, P. Reist, Y. Guo, D. Hoeller, and G. State · 2025
Later among the works it cites.
AlphaEvolve: A coding agent for scientific and algorithmic discovery
A. Novikov, N. Vũ, M. Eisenberger, E. Dupont, P.-S. Huang, A. Z. Wagner, S. Shirobokov, B. Kozlovskii, F. J. R. Ruiz, A. Mehrabian, M. P. Kumar, A. See, S. Chaudhuri, G. Holland, A. Davies, S. Nowozin, P. Kohli, and M. Balog · 2025
Later among the works it cites.
J. Piao, Y. Yan, J. Zhang, N. Li, J. Yan, X. Lan, Z. Lu, Z. Zheng, J. Y. Wang, D. Zhou, C. Gao, F. Xu, F. Zhang, K. Rong, J. Su, and Y. Li · 2025
Later among the works it cites.
UI-TARS: Pioneering automated gui interaction with native agents
Y. Qin, Y. Ye, J. Fang, H. Wang, S. Liang, S. Tian, J. Zhang, J. Li, Y. Li, S. Huang, W. Zhong, K. Li, J. Yang, Y. Miao, W. Lin, L. Liu, X. Jiang, Q. Ma, J. Li, X. Xiao, K. Cai, C. Li, Y. Zheng, C. Jin, C. Li, X. Zhou, M. Wang, H. Chen, Z. Li, H. Yang, H. Liu, F. Lin, T. Peng, X. Liu, and G. Shi · 2025
Later among the works it cites.
AndroidWorld: A dynamic benchmarking environment for autonomous agents
C. Rawles, S. Clinckemaillie, Y. Chang, J. Waltz, G. Lau, M. Fair, A. Li, W. Bishop, W. Li, F. Campbell-Ajala, D. Toyama, R. Berry, D. Tyamagundlu, T. Lillicrap, and O. Riva · 2025
Later among the works it cites.
GTM: Simulating the world of tools for AI agents
Z. Ren, X. Zhang, Z. Qian, Y. Gao, Y. Shi, S. Zheng, and J. He · 2025
Later among the works it cites.
NeuralOS: Towards simulating operating systems via neural generative models
L. Rivard, S. Sun, H. Guo, W. Chen, and Y. Deng · 2025
Later among the works it cites.
GAIA-2: A controllable multi-view generative world model for autonomous driving
L. Russell, A. Hu, L. Bertoni, G. Fedoseev, J. Shotton, E. Arani, and G. Corrado · 2025
Later among the works it cites.
PersonaGym: Evaluating persona agents and LLMs
V. Samuel, H. P. Zou, Y. Zhou, S. Chaudhari, A. Kalyan, T. Rajpurohit, A. Deshpande, K. Narasimhan, and V. Murahari · 2025
Later among the works it cites.
RoboScape: Physics-informed embodied world model
Y. Shang, X. Zhang, Y. Tang, L. Jin, C. Gao, W. Wu, and Y. Li · 2025
Later among the works it cites.
The role of world models in shaping autonomous driving: A comprehensive survey
S. Tu, X. Zhou, D. Liang, X. Jiang, Y. Zhang, X. Li, and X. Bai · 2025
Later among the works it cites.
Diffusion models are real-time game engines
D. Valevski, Y. Leviathan, M. Arar, and S. Fruchter · 2025
Later among the works it cites.
Cultural evolution of cooperation among LLM agents
A. Vallinder and E. Hughes · 2025
Later among the works it cites.
Large-scale cortical functional networks are organized in structured cycles
M. W. van Es, C. Higgins, C. Gohil, A. J. Quinn, D. Vidaurre, and M. W. Woolrich · 2025
Later among the works it cites.
The AI Scientist-v2: Workshop-level automated scientific discovery via agentic tree search
Y. Yamada, R. T. Lange, C. Lu, S. Hu, C. Lu, J. Foerster, J. Clune, and D. Ha · 2025
Later among the works it cites.
Re-thinking temporal search for long-form video understanding
J. Ye, Z. Wang, H. Sun, K. Chandrasegaran, Z. Durante, C. Eyzaguirre, Y. Bisk, J. C. Niebles, E. Adeli, L. Fei-Fei, J. Wu, and M. Li · 2025
Later among the works it cites.
Understanding epistemic language with a language-augmented bayesian theory of mind
L. Ying, T. Zhi-Xuan, L. Wong, V. Mansinghka, and J. B. Tenenbaum · 2025
Later among the works it cites.
Simulating the visual world with artificial intelligence: A roadmap
J. Yue, Z. Huang, Z. Chen, X. Wang, P. Wan, and Z. Liu · 2025
Later among the works it cites.
FutureX: An advanced live benchmark for LLM agents in future prediction
Z. Zeng, J. Liu, S. Chen, T. He, Y. Liao, Y. Tian, J. Wang, Z. Wang, Y. Yang, L. Yin, M. Yin, Z. Zhu, T. Cai, Z. Chen, J. Chen, Y. Du, X. Gao, J. Guo, L. Hu, J. Jiao, X. Li, J. Liu, S. Ni, Z. Wen, G. Zhang, K. Zhang, X. Zhou, J. Blanchet, X. Qiu, M. Wang, and W. Huang · 2025
Later among the works it cites.
OriGene: A self-evolving virtual disease biologist automating therapeutic target discovery
Z. Zhang, Z. Qiu, Y. Wu, S. Li, D. Wang, Z. Zhou, D. An, Y. Chen, Y. Li, Y. Wang, C. Ou, Z. Wang, J. X. Chen, B. Zhang, Y. Hu, W. Zhang, Z. Wei, R. Ma, Q. Liu, B. Dong, Y. He, Q. Feng, L. Bai, Q. Gao, S. Sun, and S. Zheng · 2025
Later among the works it cites.
LLM-based agentic reasoning frameworks: A survey from methods to scenarios
B. Zhao, L. G. Foo, P. Hu, C. Theobalt, H. Rahmani, and J. Liu · 2025
Later among the works it cites.
TesserAct: Learning 4D embodied world models
H. Zhen, Q. Sun, H. Zhang, J. Li, S. Zhou, Y. Du, and C. Gan · 2025
Later among the works it cites.
Aether: Geometric-aware unified world modeling
H. Zhu, Y. Wang, J. Zhou, W. Chang, Y. Zhou, Z. Li, J. Chen, C. Shen, J. Pang, and T. He · 2025
Later among the works it cites.
V. Arunkumar, G. R. Gangadharan, and R. Buyya · 2026
Closest in time.
MobileDreamer: Generative sketch world model for GUI agent
Y. Cao, Y. Zhong, Z. Zeng, L. Zheng, J. Huang, H. Qiu, P. Shi, W. Mao, and G. Wan · 2026
Closest in time.
BridgeV2W: Bridging video generation models to embodied world models via embodiment masks
Y. Chen, P. Li, J. Yang, K. He, X. Wu, Y. Xu, K. Wang, J. Liu, N. Liu, Y. Huang, and L. Wang · 2026
Closest in time.
Starvla: A lego-like codebase for vision-language-action model developing
S. Community · 2026
Closest in time.
Language-conditioned world modeling for visual navigation
Y. Dong, F. Wu, Y. Dai, L. Kong, G. Chen, X. Zhu, Q. Hu, T. Wang, J. Garnica, F. Liu, S. Huang, Q. Dai, and Z.-Q. Cheng · 2026
Closest in time.
TRAP: Tail-aware ranking attack for world-model planning
S. Duan, K. Zhang, and X. Luo · 2026
Closest in time.
W. Fan, S. Zhang, X. Wang, H. Yang, T. W. Chan, X. Chen, J. Bi, Z. Zhou, J. Liu, and K. Chen · 2026
Closest in time.
Y. Fei, B. Rendy, X. Yang, J. Woo, X. Huang, C. Li, S. Wang, D. Milsted, Y. Zeng, and G. Ceder · 2026
Closest in time.
MCP-Cosmos: World model-augmented agents for complex task execution in MCP environments
G. Ganapavarapu and D. Patel · 2026
Closest in time.
DreamDojo: A generalist robot world model from large-scale human videos
S. Gao, W. Liang, K. Zheng, A. Malik, S. Ye, S. Yu, W.-C. Tseng, Y. Dong, K. Mo, C.-H. Lin, Q. Ma, S. Nah, L. Magne, J. Xiang, Y. Xie, R. Zheng, D. Niu, Y. L. Tan, K. R. Zentner, G. Kurian, S. Indupuru, P. Jannaty, J. Gu, J. Zhang, J. Malik, P. Abbeel, M.-Y. Liu, Y. Zhu, J. Jang, and L. Fan · 2026
Closest in time.
Y. Guan, R. Yu, J. Zhang, L. Wang, C. Zhang, L. Li, B. Qiao, S. Qin, H. Huang, F. Yang, P. Zhao, L. Wutschitz, S. Kessler, H. A. Inan, R. Sim, S. Rajmohan, Q. Lin, and D. Zhang · 2026
Closest in time.
B. Jing, R. Hao, W. Zhou, and H. Yu · 2026
Closest in time.
Generative visual code mobile world models
W. Koh, S. Han, S. Lee, S.-Y. Yun, and J. Shin · 2026
Closest in time.
Evolving interpretable constitutions for multi-agent coordination
U. Kumar, A. Saito, H. Niranjani, R. Yessou, and P. X. Tan · 2026
Closest in time.
Safety in embodied AI: A survey of risks, attacks, and defenses
X. Li, X. Zheng, Y. Gao, X. Xia, Y. Wang, X. Wang, et al · 2026
Closest in time.
JailWAM: Jailbreaking world action models in robot control
H. Liu, S. Wang, J. Long, J. Hou, J. Sun, C. Li, Y. Yang, W. Peng, X. Liu, T. Jiang, W. Yao, and Y. Mu · 2026
Closest in time.
W. Ma, S. Sun, T. Yu, R. Wang, T.-S. Chua, and J. Bian · 2026
Closest in time.
NitroGen: An open foundation model for generalist gaming agents
L. Magne, A. Awadalla, G. Wang, Y. Xu, J. Belofsky, F. Hu, J. Kim, L. Schmidt, G. Gkioxari, J. Kautz, Y. Yue, Y. Choi, Y. Zhu, and L. Fan · 2026
Closest in time.
RoboCasa365: A large-scale simulation framework for training and benchmarking generalist robots
S. Nasiriany, S. Nasiriany, A. Maddukuri, and Y. Zhu · 2026
Closest in time.
Transition matching distillation for fast video generation
W. Nie, J. Berner, N. Ma, C. Liu, S. Xie, and A. Vahdat · 2026
Closest in time.
GameWorld: Towards standardized and verifiable evaluation of multimodal game agents
M. Ouyang, S. Hu, K. Q. Lin, H. T. Ng, and M. Z. Shou · 2026
Closest in time.
Natural-language agent harnesses
L. Pan, L. Zou, S. Guo, J. Ni, and H.-T. Zheng · 2026
Closest in time.
Current agents fail to leverage world model as tool for foresight
C. Qian, E. C. Acikgoz, B. Li, X. Chen, Y. Zhang, B. He, Q. Luo, D. Hakkani-Tür, G. Tur, Y. Li, and H. Ji · 2026
Closest in time.
Harness design for long-running application development
P. Rajasekaran · 2026
Closest in time.
Aligning agentic world models via knowledgeable experience learning
B. Ren, Y. Yao, R. Sun, S. Qiao, N. Zhang, and H. Chen · 2026
Closest in time.
World-model-augmented web agents with action correction
Z. Shen, X. Hu, X. Li, T. Fang, J. Li, and S. Zhang · 2026
Closest in time.
Swe-world: Building software engineering agents in docker-free environments
S. Sun, H. Song, L. Huang, J. Jiang, R. Le, Z. Lv, Z. Chen, Y. Hu, W. Luo, W. X. Zhao, et al · 2026
Closest in time.
WebWorld: A large-scale world model for web agent training
Z. Xiao, J. Tu, C. Zou, Y. Zuo, Z. Li, P. Wang, B. Yu, F. Huang, J. Lin, and Z. Liu · 2026
Closest in time.
C. Yang, X. Lin, S. Li, W. Wang, R. Guo, F. Feng, and T.-S. Chua · 2026
Closest in time.
Vision-as-inverse-graphics agent via interleaved multimodal reasoning
S. Yin, J. Ge, Z. Z. Wang, X. Li, M. J. Black, T. Darrell, A. Kanazawa, and H. Feng · 2026
Closest in time.
Reinforcement world model learning for LLM-based agents
X. Yu, B. Peng, R. Xu, Y. Shen, P. He, S. Nath, N. Singh, J. Gao, and Z. Yu · 2026
Closest in time.
Neuro-symbolic synergy for interactive world modeling
H. Zhao, S. Zhou, H. Yang, Z. Qin, and T. Zhou · 2026
Closest in time.
Code2World: A GUI world model via renderable code generation
Y. Zheng, L. Zhong, Y. Wang, R. Dai, K. Liu, X. Chu, L. Lv, P. Torr, and K. Q. Lin · 2026
Closest in time.
RealCustom++: Representing images as real textual word for real-time customization
Z. Mao, M. Huang, F. Ding, M. Liu, Q. He, and Y. Zhang · 2095
Closest in time.