arXiv (OAI Expanded)
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Is One Step Enough for Offline Policy Improvement?
Behavior regularization in offline reinforcement learning limits the exploitation of critic errors, but strong anchoring can also restrict policy improvement. We study how policy improvement is composed through multi-step proximal policy improvement (MPI), which re-centers each proximal objective on
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