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Intrinsically Motivated Goal-Conditioned Reinforcement Learning: A Short Survey by alexis alva is a document available to read on EtoBox.

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This document is a survey on intrinsically motivated goal-conditioned reinforcement learning, focusing on the convergence of developmental robotics and deep reinforcement learning. It discusses the importance of autonomous agents that can generate and pursue their own goals through intrinsic motivations, highlighting the challenges and methodologies involved. The paper categorizes various approaches and proposes a typology of methods that facilitate the open-ended acquisition of skills in artificial agents.

Author

alexis alva

Language

EN