Hongqiang Lin
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126
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AI×1ML×1
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2026
Regularized Offline Policy Optimization with Posterior Hybrid Bayesian Belief
The paper introduces Posterior Hybrid Bayesian Belief (PhyB), a novel framework that reformulates policy optimization in Bayesian Offline RL by approximating expectations as a convex combination over a subset of dynamics models, achieving state-of-the-art performance.
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