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Transferring latent structure from one environment or problem to another is a mechanism by which humans and animals generalize with very little data.
Learning higher-order sequential structure with cloned hmms, 2019
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Schemas and memory consolidation
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Can we reconcile the declarative memory and spatial navigation views on hippocampal function?
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What learning systems do intelligent agents need? complementary learning systems theory updated
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Learning to reinforcement learn, 2016
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Cognitive mapping and planning for visual navigation
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Learning overcomplete hmms
V. Sharan, S. M. Kakade, P. S. Liang, and G. Valiant · 2017
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The hippocampus as a predictive map
K. L. Stachenfeld, M. M. Botvinick, and S. J. Gershman · 2017
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Deep variational reinforcement learning for pomdps
M. Igl, L. Zintgraf, T. A. Le, F. Wood, and S. Whiteson · 2018
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Assessing generalization in deep reinforcement learning
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Neural analogical matching
M. Crouse, C. Nakos, I. Abdelaziz, and K. Forbus · 2021
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Clone-structured graph representations enable flexible learning and vicarious evaluation of cognitive maps
D. George, R. V. Rikhye, N. Gothoskar, J. S. Guntupalli, A. Dedieu, and M. Lázaro-Gredilla · 2021
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Towards mental time travel: a hierarchical memory for reinforcement learning agents
A. Lampinen, S. Chan, A. Banino, and F. Hill · 2021
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Abstraction and analogy-making in artificial intelligence
M. Mitchell · 2021
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Recurrent model-free rl can be a strong baseline for many pomdps
T. Ni, B. Eysenbach, and R. Salakhutdinov · 2021
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N. Savinov, A. Dosovitskiy, and V. Koltun · 2018
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Schema cells in the macaque hippocampus
P. Baraduc, J.-R. Duhamel, and S. Wirth · 2019
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Search on the replay buffer: Bridging planning and reinforcement learning
B. Eysenbach, R. R. Salakhutdinov, and S. Levine · 2019
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Shaping belief states with generative environment models for rl
K. Gregor, D. Jimenez Rezende, F. Besse, Y. Wu, H. Merzic, and A. van den Oord · 2019
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Compile: Compositional imitation learning and execution
T. Kipf, Y. Li, H. Dai, V. Zambaldi, A. Sanchez-Gonzalez, E. Grefenstette, P. Kohli, and P. Battaglia · 2019
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Modeling perceptual aliasing in slam via discrete–continuous graphical models
P.-Y. Lajoie, S. Hu, G. Beltrame, and L. Carlone · 2019
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The streetlearn environment and dataset
P. Mirowski, A. Banki-Horvath, K. Anderson, D. Teplyashin, K. M. Hermann, M. Malinowski, M. K. Grimes, K. Simonyan, K. Kavukcuoglu, A. Zisserman, et al · 2019
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S. Sharma, A. Curtis, M. Kryven, J. Tenenbaum, and I. Fiete · 2021
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Emergent symbols through binding in external memory
T. W. Webb, I. Sinha, and J. Cohen · 2021
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Relating transformers to models and neural representations of the hippocampal formation, 2021
J. C. R. Whittington, J. Warren, and T. E. J. Behrens · 2021
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World model as a graph: Learning latent landmarks for planning
L. Zhang, G. Yang, and B. C. Stadie · 2021
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Inductive biases for relational tasks
G. Kerg, S. Mittal, D. Rolnick, Y. Bengio, B. A. Richards, and G. Lajoie · 2022
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Space is a latent sequence: Structured sequence learning as a unified theory of representation in the hippocampus, 2022
R. V. Raju, J. S. Guntupalli, G. Zhou, M. Lázaro-Gredilla, and D. George · 2022
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Complementary task representations in hippocampus and prefrontal cortex for generalizing the structure of problems
V. Samborska, J. L. Butler, M. E. Walton, T. E. J. Behrens, and T. Akam · 2022
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Abstraction for deep reinforcement learning, 2022
M. Shanahan and M. Mitchell · 2022
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From cognitive maps to spatial schemas
D. Farzanfar, H. J. Spiers, M. Moscovitch, and R. S. Rosenbaum · 2023
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