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arXiv Machine Learning By Jai Malegaonkar, Rohan Patil, Henrik I. Christensen

Reward Structure Shapes the Interaction Between Episodic Exploration and Neural Memory in Reinforcement Learning

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arXiv:2608. 05111v1 Announce Type: new Abstract: In partially observable reinforcement learning, agents face a dual bottleneck: they must explore to encounter rewarding states and retain that experience in memory to optimize their policies.

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