Fetching the paper…
Reading the bibliography…
Multi-agent coordination studies the underlying mechanism enabling the trending spread of diverse multi-agent systems (MAS) and has received increasing attention, driven by the expansion of emerging applications and rapid AI advances.
The opening of milkbottles by birds
J FISHER. 1949 · 1949
Earlier work this paper cites.
Readings in distributed artificial intelligence
Alan H Bond and Les Gasser. 1988 · 1988
Earlier work this paper cites.
Coordination of distributed problem solvers
Edmund H Durfee. 1988 · 1988
Earlier work this paper cites.
Implementing distributed AI systems using MACE
Les Gasser, Carl Braganza, and Nava Herman. 1988 · 1988
Earlier work this paper cites.
Society of mind
Marvin Minsky. 1988 · 1988
Earlier work this paper cites.
Multi-agent reinforcement learning: Independent vs. cooperative agents. In Proceedings of the tenth international conference on machine learning . 330–337
Ming Tan. 1993 · 1993
Earlier work this paper cites.
The interdisciplinary study of coordination
Thomas W Malone and Kevin Crowston. 1994 · 1994
Earlier work this paper cites.
Controlling cooperative problem solving in industrial multi-agent systems using joint intentions
Nicholas R Jennings. 1995 · 1995
Earlier work this paper cites.
Planning, learning and coordination in multiagent decision processes. In TARK , Vol. 96. Citeseer, 195–210
Craig Boutilier. 1996 · 1996
Earlier work this paper cites.
Swarm intelligence: from natural to artificial intelligence
Marco Dorigo and Guy Theraulaz. 1999 · 1999
Earlier work this paper cites.
A brief history of stigmergy
Guy Theraulaz and Eric Bonabeau. 1999 · 1999
Earlier work this paper cites.
Self-organization in biological systems
Scott Camazine, Jean-Louis Deneubourg, Nigel R Franks, James Sneyd, Guy Theraula, and Eric Bonabeau. 2001 · 2001
Earlier work this paper cites.
Learning communication for multi-agent systems. In Innovative Concepts for Agent-Based Systems: First International Workshop on Radical Agent Concepts, WRAC 2002, McLean, VA, USA, January 16-18, 2002. Revised Papers 1 . Springer, 377–390
C Lee Giles and Kam-Chuen Jim. 2003 · 2002
Earlier work this paper cites.
MAGNAS-Magnetic NanoProbe Swarm
Hendrik Lübberstedt, David Koebel, Flemming Hansen, and Peter Brauer. 2005 · 2005
Earlier work this paper cites.
Coordinated task execution for humanoid robots. In Experimental Robotics IX: The 9th International Symposium on Experimental Robotics . Springer, 259–267
Tamim Asfour, Duc Nguyen Ly, Kristian Regenstein, and Rüdiger Dillmann. 2006 · 2006
Earlier work this paper cites.
Consensus and cooperation in networked multi-agent systems
Reza Olfati-Saber, J Alex Fax, and Richard M Murray. 2007 · 2007
Earlier work this paper cites.
Cooperative attitude synchronization in satellite swarms: a consensus approach
Alain Sarlette, Rodolphe Sepulchre, and Naomi Ehrich Leonard. 2007 · 2007
Earlier work this paper cites.
Multiagent systems: Algorithmic, game-theoretic, and logical foundations
Yoav Shoham and Kevin Leyton-Brown. 2008 · 2008
Earlier work this paper cites.
On the construction of a maximum-lifetime data gathering tree in sensor networks: NP-completeness and approximation algorithm. In IEEE INFOCOM 2008-The 27th Conference on Computer Communications . IEEE, 356–360
Yan Wu, Sonia Fahmy, and Ness B Shroff. 2008 · 2008
Earlier work this paper cites.
Assistive social robots in elderly care: a review
Joost Broekens, Marcel Heerink, Henk Rosendal, et al · 2009
Earlier work this paper cites.
An introduction to multiagent systems
Michael Wooldridge. 2009 · 2009
Earlier work this paper cites.
Multi-agent system in urban traffic signal control
PG Balaji and Dipti Srinivasan. 2010 · 2010
Earlier work this paper cites.
OLFAR, a radio telescope based on nano-satellites in moon orbit
Steven Engelen, Chris JM Verhoeven, and Mark J Bentum. 2010 · 2010
Earlier work this paper cites.
Systematic Identification of Applications for a Cluster of Femto-satellites. In 61st International Astronautical Congress, Prague, Czech Republic , Vol. 27
Prem P Sundaramoorthy, E Gill, and CJM Verhoeven. 2010 · 2010
Earlier work this paper cites.
Classifying human manipulation behavior. In 2011 IEEE international conference on rehabilitation robotics . IEEE, 1–6
Ian M Bullock and Aaron M Dollar. 2011 · 2011
Earlier work this paper cites.
Toward robotic sensor webs: Algorithms, systems, and experiments
Hoam Chung, Songhwai Oh, David Hyunchul Shim, and S Shankar Sastry. 2011 · 2011
Earlier work this paper cites.
Cooperative adaptive cruise control: A reinforcement learning approach
Charles Desjardins and Brahim Chaib-Draa. 2011 · 2011
Earlier work this paper cites.
Systems engineering challenges for satellite swarms. In 2011 Aerospace Conference . IEEE, 1–8
Steven Engelen, Eberhard KA Gill, and Chris JM Verhoeven. 2011 · 2011
Earlier work this paper cites.
Autonomous intersection management: Multi-intersection optimization. In 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems . IEEE, 4581–4586
Matthew Hausknecht, Tsz-Chiu Au, and Peter Stone. 2011 · 2011
Earlier work this paper cites.
On dexterity and dexterous manipulation. In 2011 15th International Conference on Advanced Robotics (ICAR) . IEEE, 1–7
Raymond R Ma and Aaron M Dollar. 2011 · 2011
Earlier work this paper cites.
Humanoid multimodal tactile-sensing modules
Philipp Mittendorfer and Gordon Cheng. 2011 · 2011
Earlier work this paper cites.
An artificial market for efficient allocation of road transport networks. In German Conference on Multiagent System Technologies . Springer, 189–196
Matteo Vasirani and Sascha Ossowski. 2011 · 2011
Earlier work this paper cites.
Active vision during coordinated head/eye movements in a humanoid robot
Xutao Kuang, Mark Gibson, Bertram E Shi, and Michele Rucci. 2012 · 2012
Earlier work this paper cites.
Meta-agent conflict-based search for optimal multi-agent path finding. In Proceedings of the International Symposium on Combinatorial Search , Vol. 3. 97–104
Guni Sharon, Roni Stern, Ariel Felner, and Nathan Sturtevant. 2012 · 2012
Earlier work this paper cites.
Behaviour based, autonomous and distributed scatter manoeuvres for satellite swarms
Sreeja Nag and Leopold Summerer. 2013 · 2013
Earlier work this paper cites.
Neural machine translation by jointly learning to align and translate. In 3rd International Conference on Learning Representations, ICLR 2015
Dzmitry Bahdanau, Kyung Hyun Cho, and Yoshua Bengio. 2015 · 2015
Earlier work this paper cites.
Design of a home multi-robot system for the elderly and disabled. In 2015 10th System of Systems Engineering Conference (SoSE) . IEEE, 392–397
Patrick Benavidez, Mohan Kumar, Sos Agaian, and Mo Jamshidi. 2015 · 2015
Earlier work this paper cites.
Bio-inspired therapeutic pet robots: Review and future direction. In 2015 10th international conference on information, communications and signal processing (icics) . IEEE, 1–5
Jaishankar Bharatharaj, Loulin Huang, and Ahmed Al-Jumaily. 2015 · 2015
Earlier work this paper cites.
Icbs: The improved conflict-based search algorithm for multi-agent pathfinding. In Proceedings of the International Symposium on Combinatorial Search , Vol. 6. 223–225
Eli Boyarski, Ariel Felner, Roni Stern, Guni Sharon, Oded Betzalel, David Tolpin, and Eyal Shimony. 2015 · 2015
Earlier work this paper cites.
The grasp taxonomy of human grasp types
Thomas Feix, Javier Romero, Heinz-Bodo Schmiedmayer, Aaron M Dollar, and Danica Kragic. 2015 · 2015
Earlier work this paper cites.
Human interaction with robot swarms: A survey
Andreas Kolling, Phillip Walker, Nilanjan Chakraborty, Katia Sycara, and Michael Lewis. 2015 · 2015
Earlier work this paper cites.
An overview of vehicular platoon control under the four-component framework. In 2015 IEEE Intelligent Vehicles Symposium (IV) . IEEE, 286–291
Shengbo Eben Li, Yang Zheng, Keqiang Li, and Jianqiang Wang. 2015 · 2015
Earlier work this paper cites.
Heavy-duty vehicle platoon formation for fuel efficiency
Kuo-Yun Liang, Jonas Mårtensson, and Karl H Johansson. 2015 · 2015
Earlier work this paper cites.
Handbook of Collective Intelligence
Thomas W Malone and Michael S Bernstein. 2015 · 2015
Earlier work this paper cites.
An optimization algorithm based on brainstorming process
Yuhui Shi. 2015 · 2015
Earlier work this paper cites.
A review of swarm robotics tasks
Levent Bayındır. 2016 · 2016
Earlier work this paper cites.
Vehicle routing problems for drone delivery
Kevin Dorling, Jordan Heinrichs, Geoffrey G Messier, and Sebastian Magierowski. 2016 · 2016
Earlier work this paper cites.
Learning to communicate with deep multi-agent reinforcement learning
Jakob Foerster, Ioannis Alexandros Assael, Nando De Freitas, and Shimon Whiteson. 2016 · 2016
Earlier work this paper cites.
A distributed, collective intelligence framework for collision-free navigation through busy intersections. In 2016 IEEE 19th international conference on intelligent transportation systems (ITSC) . IEEE, 1378–1383
Rahi Kalantari, Michael Motro, Joydeep Ghosh, and Chandra Bhat. 2016 · 2016
Earlier work this paper cites.
Survey of inter-satellite communication for small satellite systems: Physical layer to network layer view
Radhika Radhakrishnan, William W Edmonson, Fatemeh Afghah, Ramon Martinez Rodriguez-Osorio, Frank Pinto, and Scott C Burleigh. 2016 · 2016
Earlier work this paper cites.
Safe, multi-agent, reinforcement learning for autonomous driving
Shai Shalev-Shwartz, Shaked Shammah, and Amnon Shashua. 2016 · 2016
Earlier work this paper cites.
Learning multiagent communication with backpropagation
Sainbayar Sukhbaatar, Rob Fergus, et al · 2016
Earlier work this paper cites.
Swarm robotics search & rescue: A novel artificial intelligence-inspired optimization approach
M Bakhshipour, M Jabbari Ghadi, and Farhad Namdari. 2017 · 2017
Earlier work this paper cites.
Cooperative Multi-agent Control Using Deep Reinforcement Learning. In Autonomous Agents and Multiagent Systems , Gita Sukthankar and Juan A. Rodriguez-Aguilar (Eds.). Springer International Publishing, Cham, 66–83
Jayesh K. Gupta, Maxim Egorov, and Mykel Kochenderfer. 2017 · 2017
Earlier work this paper cites.
Vain: Attentional multi-agent predictive modeling
Yedid Hoshen. 2017 · 2017
Earlier work this paper cites.
Multi-agent actor-critic for mixed cooperative-competitive environments
Ryan Lowe, Yi I Wu, Aviv Tamar, Jean Harb, OpenAI Pieter Abbeel, and Igor Mordatch. 2017 · 2017
Cited alongside, same era.
NewSpace: The Emerging Commercial Space Industry
Gary Martin. 2017 · 2017
Cited alongside, same era.
Peng Peng, Ying Wen, Yaodong Yang, Quan Yuan, Zhenkun Tang, Haitao Long, and Jun Wang. 2017 · 2017
Cited alongside, same era.
Satellite constellation orbit design optimization with combined genetic algorithm and semianalytical approach
Tania Savitri, Youngjoo Kim, Sujang Jo, and Hyochoong Bang. 2017 · 2017
Cited alongside, same era.
Cooperative multi-agent planning: A survey
Alejandro Torreno, Eva Onaindia, Antonín Komenda, and Michal Štolba. 2017 · 2017
Cited alongside, same era.
Satellite staring beam scheduling strategy based on multi-agent reinforcement learning. In International Conference on Wireless and Satellite Systems . Springer, 23–34
Hongtao Zhu, Zhenyong Wang, Dezhi Li, and Qing Guo. 2021 · 2021
Later among the works it cites.
Recent advances in unmanned aerial vehicles: a review
Faiyaz Ahmed, JC Mohanta, Anupam Keshari, and Pankaj Singh Yadav. 2022 · 2022
Later among the works it cites.
Detection and Estimation of Cognitive Conflict During Physical Human–Robot Collaboration
Stefano Aldini, Avinash K Singh, Daniel Leong, Yu-Kai Wang, Marc G Carmichael, Dikai Liu, and Chin-Teng Lin. 2022 · 2022
Later among the works it cites.
A multirobot system in an assisted home environment to support the elderly in their daily lives
Ramón Barber, Francisco J Ortiz, Santiago Garrido, Francisco M Calatrava-Nicolás, Alicia Mora, Adrián Prados, José Alfonso Vera-Repullo, Joaquín Roca-González, Inmaculada Méndez, and Óscar Martínez Mozos. 2022 · 2022
Later among the works it cites.
Design and technical development of wall-climbing robots: A review
Yi Fang, Shuai Wang, Qiushi Bi, Da Cui, and Chuliang Yan. 2022 · 2022
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Swarm satellite mission scheduling & planning using hybrid dynamic mutation genetic algorithm
Zixuan Zheng, Jian Guo, and Eberhard Gill. 2017 · 2017
Cited alongside, same era.
Search and rescue with autonomous flying robots through behavior-based cooperative intelligence
Ross D Arnold, Hiroyuki Yamaguchi, and Toshiyuki Tanaka. 2018 · 2018
Cited alongside, same era.
Adding heuristics to conflict-based search for multi-agent path finding. In Proceedings of the International Conference on Automated Planning and Scheduling , Vol. 28. 83–87
Ariel Felner, Jiaoyang Li, Eli Boyarski, Hang Ma, Liron Cohen, TK Satish Kumar, and Sven Koenig. 2018 · 2018
Cited alongside, same era.
Counterfactual multi-agent policy gradients. In Proceedings of the AAAI conference on artificial intelligence , Vol. 32
Jakob Foerster, Gregory Farquhar, Triantafyllos Afouras, Nantas Nardelli, and Shimon Whiteson. 2018 · 2018
Cited alongside, same era.
Learning attentional communication for multi-agent cooperation
Jiechuan Jiang and Zongqing Lu. 2018 · 2018
Cited alongside, same era.
Network topology and communication-computation tradeoffs in decentralized optimization
Angelia Nedić, Alex Olshevsky, and Michael G Rabbat. 2018 · 2018
Cited alongside, same era.
System design for coordinated multi-robot assistance deployment in smart spaces. In 2018 Second IEEE International Conference on Robotic Computing (IRC) . IEEE, 324–329
Panagiotis Papadakis, Christophe Lohr, Marin Lujak, Abir Karami, Ioannis Kanellos, Guillaume Lozenguez, and Anthony Fleury. 2018 · 2018
Cited alongside, same era.
Later among the works it cites.
Ab-mapper: Attention and bicnet based multi-agent path planning for dynamic environment. In 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) . IEEE, 13799–13806
Huifeng Guan, Yuan Gao, Min Zhao, Yong Yang, Fuqin Deng, and Tin Lun Lam. 2022 · 2022
Later among the works it cites.
Challenges for future robotic sorters of mixed industrial waste: A survey
Takuya Kiyokawa, Jun Takamatsu, and Shigeki Koyanaka. 2022 · 2022
Later among the works it cites.
Algorithms for decision making
Mykel J Kochenderfer, Tim A Wheeler, and Kyle H Wray. 2022 · 2022
Later among the works it cites.
Applications of multi-agent reinforcement learning in future internet: A comprehensive survey
Tianxu Li, Kun Zhu, Nguyen Cong Luong, Dusit Niyato, Qihui Wu, Yang Zhang, and Bing Chen. 2022b · 2022
Later among the works it cites.
Multi-agent path finding with prioritized communication learning. In 2022 International Conference on Robotics and Automation (ICRA) . IEEE, 10695–10701
Wenhao Li, Hongjun Chen, Bo Jin, Wenzhe Tan, Hongyuan Zha, and Xiangfeng Wang. 2022a · 2022
Later among the works it cites.
Modelling the trust value for human agents based on real-time human states in human-autonomous teaming systems
Chin-Teng Lin, Hsiu-Yu Fan, Yu-Cheng Chang, Liang Ou, Jia Liu, Yu-Kai Wang, and Tzyy-Ping Jung. 2022a · 2022
Later among the works it cites.
Dynamic beam pattern and bandwidth allocation based on multi-agent deep reinforcement learning for beam hopping satellite systems
Zhiyuan Lin, Zuyao Ni, Linling Kuang, Chunxiao Jiang, and Zhen Huang. 2022b · 2022
Later among the works it cites.
Architectures and synchronization techniques for distributed satellite systems: A survey
Liz Martinez Marrero, Juan Carlos Merlano-Duncan, Jorge Querol, Sumit Kumar, Jevgenij Krivochiza, Shree Krishna Sharma, Symeon Chatzinotas, Adriano Camps, and Björn Ottersten. 2022 · 2022
Later among the works it cites.
Robot crawler for surveying pipelines and metal structures of complex spatial configuration
Vladimir Pshenin, Anastasia Liagova, Alexander Razin, Alexander Skorobogatov, and Maxim Komarovsky. 2022 · 2022
Later among the works it cites.
Implicit robot control using error-related potential-based brain–computer interface
Xiaofei Wang, Hsiang-Ting Chen, Yu-Kai Wang, and Chin-Teng Lin. 2022 · 2022
Later among the works it cites.
Multi-agent reinforcement learning is a sequence modeling problem
Muning Wen, Jakub Kuba, Runji Lin, Weinan Zhang, Ying Wen, Jun Wang, and Yaodong Yang. 2022 · 2022
Later among the works it cites.
Multi-agent pathfinding with communication reinforcement learning and deadlock detection. In International Conference on Intelligent Robotics and Applications . Springer, 493–504
Zhaohui Ye, Yanjie Li, Ronghao Guo, Jianqi Gao, and Wen Fu. 2022 · 2022
Later among the works it cites.
The surprising effectiveness of ppo in cooperative multi-agent games
Chao Yu, Akash Velu, Eugene Vinitsky, Jiaxuan Gao, Yu Wang, Alexandre Bayen, and Yi Wu. 2022 · 2022
Later among the works it cites.
Multi-robot multi-station cooperative spot welding task allocation based on stepwise optimization: An industrial case study
Bo Zhou, Rui Zhou, Yahui Gan, Fang Fang, and Yujie Mao. 2022 · 2022
Later among the works it cites.
Playing repeated games with Large Language Models
Elif Akata, Lion Schulz, Julian Coda-Forno, Seong Joon Oh, Matthias Bethge, and Eric Schulz. 2023 · 2023
Later among the works it cites.
Multi-agent consensus seeking via large language models
Huaben Chen, Wenkang Ji, Lufeng Xu, and Shiyu Zhao. 2023 · 2023
Later among the works it cites.
Teleoperation of humanoid robots: A survey
Kourosh Darvish, Luigi Penco, Joao Ramos, Rafael Cisneros, Jerry Pratt, Eiichi Yoshida, Serena Ivaldi, and Daniele Pucci. 2023 · 2023
Later among the works it cites.
A review of graph-based multi-agent pathfinding solvers: From classical to beyond classical
Jianqi Gao, Yanjie Li, Xinyi Li, Kejian Yan, Ke Lin, and Xinyu Wu. 2023b · 2023
Later among the works it cites.
Camel: Communicative agents for" mind" exploration of large language model society
Guohao Li, Hasan Hammoud, Hani Itani, Dmitrii Khizbullin, and Bernard Ghanem. 2023b · 2023
Later among the works it cites.
Theory of Mind for Multi-Agent Collaboration via Large Language Models. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, EMNLP 2023, Singapore, December 6-10, 2023 , Houda Bouamor, Juan Pino, and Kalika Bali (Eds.). Association for Computational Linguistics, 180–192
Huao Li, Yu Quan Chong, Simon Stepputtis, Joseph Campbell, Dana Hughes, Charles Lewis, and Katia P. Sycara. 2023a · 2023
Later among the works it cites.
Adaptive Trust Model for Multi-Agent Teaming Based on Reinforcement-Learning-Based Fusion
Chin-Teng Lin, Haichao Zhang, Liang Ou, Yu-Cheng Chang, and Yu-Kai Wang. 2023 · 2023
Later among the works it cites.
Welfare Diplomacy: Benchmarking Language Model Cooperation
Gabriel Mukobi, Hannah Erlebach, Niklas Lauffer, Lewis Hammond, Alan Chan, and Jesse Clifton. 2023 · 2023
Later among the works it cites.
Generative agents: Interactive simulacra of human behavior. In Proceedings of the 36th annual acm symposium on user interface software and technology . 1–22
Joon Sung Park, Joseph O’Brien, Carrie Jun Cai, Meredith Ringel Morris, Percy Liang, and Michael S Bernstein. 2023 · 2023
Later among the works it cites.
Communicative agents for software development
Chen Qian, Xin Cong, Cheng Yang, Weize Chen, Yusheng Su, Juyuan Xu, Zhiyuan Liu, and Maosong Sun. 2023 · 2023
Later among the works it cites.
Toward multi-target self-organizing pursuit in a partially observable Markov game
Lijun Sun, Yu-Cheng Chang, Chao Lyu, Ye Shi, Yuhui Shi, and Chin-Teng Lin. 2023 · 2023
Later among the works it cites.
A multi-agent approach for adaptive finger cooperation in learning-based in-hand manipulation. In 2023 IEEE International Conference on Robotics and Automation (ICRA) . IEEE, 3897–3903
Lingfeng Tao, Jiucai Zhang, Michael Bowman, and Xiaoli Zhang. 2023 · 2023
Later among the works it cites.
Robot Trust and Self-Confidence Based Role Arbitration Method for Physical Human-Robot Collaboration. In 2023 IEEE International Conference on Robotics and Automation (ICRA) . IEEE, 9896–9902
Qiao Wang, Dikai Liu, Marc G Carmichael, and Chin-Teng Lin. 2023a · 2023
Later among the works it cites.
SCRIMP: Scalable communication for reinforcement-and imitation-learning-based multi-agent pathfinding. In 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) . IEEE, 9301–9308
Yutong Wang, Bairan Xiang, Shinan Huang, and Guillaume Sartoretti. 2023b · 2023
Later among the works it cites.
Chatgpt research group for optimizing the crystallinity of mofs and cofs
Zhiling Zheng, Oufan Zhang, Ha L Nguyen, Nakul Rampal, Ali H Alawadhi, Zichao Rong, Teresa Head-Gordon, Christian Borgs, Jennifer T Chayes, and Omar M Yaghi. 2023 · 2023
Later among the works it cites.
Multi-agent reinforcement learning: Methods, applications, visionary prospects, and challenges
Ziyuan Zhou, Guanjun Liu, and Ying Tang. 2023 · 2023
Later among the works it cites.
Mindstorms in natural language-based societies of mind
Mingchen Zhuge, Haozhe Liu, Francesco Faccio, Dylan R Ashley, Róbert Csordás, Anand Gopalakrishnan, Abdullah Hamdi, Hasan Abed Al Kader Hammoud, Vincent Herrmann, Kazuki Irie, et al · 2023
Later among the works it cites.
Group-Aware Coordination Graph for Multi-Agent Reinforcement Learning
Wei Duan, Jie Lu, and Junyu Xuan. 2024a · 2024
Later among the works it cites.
Inferring Latent Temporal Sparse Coordination Graph for Multi-Agent Reinforcement Learning
Wei Duan, Jie Lu, and Junyu Xuan. 2024b · 2024
Later among the works it cites.
Can Large Language Models Serve as Rational Players in Game Theory? A Systematic Analysis. In Thirty-Eighth AAAI Conference on Artificial Intelligence, AAAI 2024, Thirty-Sixth Conference on Innovative Applications of Artificial Intelligence, IAAI 2024, Fourteenth Symposium on Educational Advances in Artificial Intelligence, EAAI 2014, February 20-27, 2024, Vancouver, Canada , Michael J. Wooldridge, Jennifer G. Dy, and Sriraam Natarajan (Eds.). AAAI Press, 17960–17967
Caoyun Fan, Jindou Chen, Yaohui Jin, and Hao He. 2024 · 2024
Later among the works it cites.
Scaling synthetic data creation with 1,000,000,000 personas
Tao Ge, Xin Chan, Xiaoyang Wang, Dian Yu, Haitao Mi, and Dong Yu. 2024 · 2024
Later among the works it cites.
MetaGPT: Meta Programming for A Multi-Agent Collaborative Framework. In The Twelfth International Conference on Learning Representations
Sirui Hong, Mingchen Zhuge, Jonathan Chen, Xiawu Zheng, Yuheng Cheng, Jinlin Wang, Ceyao Zhang, Zili Wang, Steven Ka Shing Yau, Zijuan Lin, Liyang Zhou, Chenyu Ran, Lingfeng Xiao, Chenglin Wu, and Jürgen Schmidhuber. 2024 · 2024
Later among the works it cites.
Centralization vs. decentralization in multi-robot coverage: Ground robots under uav supervision
Aryo Jamshidpey, Mostafa Wahby, Mary Katherine Heinrich, Michael Allwright, Weixu Zhu, and Marco Dorigo. 2024 · 2024
Later among the works it cites.
Prediction of cognitive conflict during unexpected robot behavior under different mental workload conditions in a physical human–robot collaboration
Alka Rachel John, Avinash K Singh, Klaus Gramann, Dikai Liu, and Chin-Teng Lin. 2024 · 2024
Later among the works it cites.
Satellite-Terrestrial Coordinated Multi-Satellite Beam Hopping Scheduling Based on Multi-Agent Deep Reinforcement Learning
Zhiyuan Lin, Zuyao Ni, Linling Kuang, Chunxiao Jiang, and Zhen Huang. 2024 · 2024
Later among the works it cites.
Autonomous vehicle implementation predictions: Implications for transport planning
Todd Litman. 2024 · 2024
Later among the works it cites.
Attention-Based Distributional Reinforcement Learning for Safe and Efficient Autonomous Driving
Jia Liu, Jianwen Yin, Zhengmin Jiang, Qingyi Liang, and Huiyun Li. 2024 · 2024
Later among the works it cites.
Dynamic routing for integrated satellite-terrestrial networks: A constrained multi-agent reinforcement learning approach
Yifeng Lyu, Han Hu, Rongfei Fan, Zhi Liu, Jianping An, and Shiwen Mao. 2024 · 2024
Later among the works it cites.
Roco: Dialectic multi-robot collaboration with large language models. In 2024 IEEE International Conference on Robotics and Automation (ICRA) . IEEE, 286–299
Zhao Mandi, Shreeya Jain, and Shuran Song. 2024 · 2024
Later among the works it cites.
QB50. [n. d.]
2024
Later among the works it cites.
Nanorobotics in medicine: a systematic review of advances, challenges, and future prospects with a focus on cell therapy, invasive surgery, and drug delivery
Shishir Rajendran, Prathic Sundararajan, Ashi Awasthi, and Suraj Rajendran. 2024 · 2024
Later among the works it cites.
Enabling Versatility and Dexterity of the Dual-Arm Manipulators: A General Framework Toward Universal Cooperative Manipulation
Yi Ren, Zhehua Zhou, Ziwei Xu, Yang Yang, Guangyao Zhai, Marion Leibold, Fenglei Ni, Zhengyou Zhang, Martin Buss, and Yu Zheng. 2024 · 2024
Later among the works it cites.
On Generative Agents in Recommendation. In Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2024, Washington DC, USA, July 14-18, 2024 , Grace Hui Yang, Hongning Wang, Sam Han, Claudia Hauff, Guido Zuccon, and Yi Zhang (Eds.). ACM, 1807–1817
An Zhang, Yuxin Chen, Leheng Sheng, Xiang Wang, and Tat-Seng Chua. 2024a · 2024
Later among the works it cites.
Towards Efficient LLM Grounding for Embodied Multi-Agent Collaboration
Yang Zhang, Shixin Yang, Chenjia Bai, Fei Wu, Xiu Li, Xuelong Li, and Zhen Wang. 2024b · 2024
Later among the works it cites.
Value-Decomposition Networks For Cooperative Multi-Agent Learning Based On Team Reward. In Proceedings of the 17th International Conference on Autonomous Agents and MultiAgent Systems . 2085–2087
Peter Sunehag, Guy Lever, Audrunas Gruslys, Wojciech Marian Czarnecki, Vinicius Zambaldi, Max Jaderberg, Marc Lanctot, Nicolas Sonnerat, Joel Z Leibo, Karl Tuyls, et al · 2087
Closest in time.