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The ability to adapt to changes in environmental contingencies is an important challenge in reinforcement learning.
Causation
D. K. Lewis · 1973
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Causality
J. Pearl · 2009
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Prioritized experience replay
T. Schaul, J. Quan, I. Antonoglou, and D. Silver · 2015
Earlier work this paper cites.
Y. Zhang, J. Paik, and P. Pirolli · 2015
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Minimalistic gridworld environment for OpenAI Gym
M. Chevalier-Boisvert, L. Willems, and S. Pal · 2018
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Prioritized memory access explains planning and hippocampal replay
M. G. Mattar and N. D. Daw · 2018
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Reinforcement Learning: An Introduction
R. Sutton and A. Barto · 2018
Cited alongside, same era.
A Treatise of Human Nature
D. Hume
Cited in the paper.
Offline reinforcement learning: Tutorial, review, and perspectives on open problems
S. Levine, A. Kumar, G. Tucker, and J. Fu · 2020
Later among the works it cites.
Decision transformer: Reinforcement learning via sequence modeling
L. Chen, K. Lu, A. Rajeswaran, K. Lee, A. Grover, M. Laskin, P. Abbeel, A. Srinivas, and I. Mordatch · 2021
Closest in time.
Reinforcement learning as one big sequence modeling problem
M. Janner, Q. Li, and S. Levine · 2021
Closest in time.
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