arXiv CS
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When Do Intrinsic Rewards Lead to Exploration?
Intrinsic rewards are designed to guide exploration in reinforcement learning by assigning value to an agent's experience, for example through prediction error or learning progress. However, maximizing these rewards need not produce the most informative experience available. We propose a formal crit
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