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REFINEPPO: Learning Continuous Control Policies by Iterative Action Refinement

arXiv:2609.21108v1 Announce Type: new Abstract: Deep reinforcement learning (DRL) has achieved strong performance across a wide range of continuous-control problems. These continuous-control policies, however, are often defined as direct mappings from an observed state to an action or action distri…

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  1. 2026-09-21 04:00 · arXiv cs.LG
    REFINEPPO: Learning Continuous Control Policies by Iterative Action Refinement

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