An Investigation of Model-Free PlanningDownload PDFOpen Website

2019 (modified: 11 Nov 2022)ICML 2019Readers: Everyone
Abstract: The field of reinforcement learning (RL) is facing increasingly challenging domains with combinatorial complexity. For an RL agent to address these challenges, it is essential that it can plan effe...
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