Keywords: GCRL, Goal representation
Abstract: Goal-conditioned reinforcement learning (GCRL) aims to design agents capable of solving multiple tasks. However, choosing, representing, and learning goals remains an open area of research. This essay first reviews goal representation and learning methods in GCRL. It then discusses challenges and future directions.
Submission Number: 138
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