Construct · 1 fields · 1 citations
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In reinforcement learning (machine learning), curiosity-driven exploration refers to an intrinsic reward equal to the agent's error in predicting the consequences of its own actions in a learned feature space, driving exploration. This meaning comes from Pathak (2017) in arXiv.[1]
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