Endogenous Exploration in Reinforcement Learning with Intrinsic Curiosity
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arXiv:2609.05650v1 Announce Type: new Abstract: We propose a reinforcement learning framework in which exploration is driven by intrinsic curiosity, designed for scenarios where environments are non-stationary and rewards are sparse, delayed, uninformative, or absent. In our model, action selection…
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- 2026-09-09 04:00 · arXiv cs.LG
Endogenous Exploration in Reinforcement Learning with Intrinsic Curiosity