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Paper: Regularized offline policy optimization with posterior hybrid Bayesian belief

Arxiv CS.AI (top papers)

This paper introduces a method for offline RL that integrates regularized policy optimization with a hybrid Bayesian belief structure. The approach explicitly manages epistemic uncertainty from limited data coverage and ambiguity in identifying optimal behavior.

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9 days ago
Paper: Regularized offline policy optimization with posterior hybrid Bayesian belief — AIBriefs