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value function

topic1 events
papersSEP 10 04:00 UTC

New arXiv Paper Proposes Softmax-Based Method for Inferring Optimal RL Values Offline

A research paper on arXiv examines offline inference of the optimal value function in reinforcement learning. The authors derive new nuisance quantities as fixed points of a self-induced Bellman equation, approximating the maximum Bellman operator with its softmax counterpart. The work contributes theoretical tools for estimating optimal values from offline data.

reinforcement-learning/research/arxiv/theory