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arXiv Machine Learning By Waris Radji, Odalric-Ambrym Maillard

Information-Based Exploration via Random Features for Reinforcement Learning

Read the original on arXiv Machine Learning →

arXiv:2607. 17981v1 Announce Type: new Abstract: Representation learning has enabled classical exploration strategies to be extended to deep Reinforcement Learning (RL), but often makes algorithms more complex and theoretical guarantees harder to establish.

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