Optimal Value Inference for Reinforcement Learning
This story is from 2026-09-10. It is preserved in the archive; the latest stories are on the live feed.
arXiv:2609.09981v1 Announce Type: new Abstract: We study offline inference for the optimal value in reinforcement learning. Two new nuisances are derived as fixed points of a self-induced Bellman equation, in which we approximate the maximum Bellman operator by its softmax correspondence. We propos…
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- 2026-09-10 04:00 · arXiv stat.ML
Optimal Value Inference for Reinforcement Learning
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