Derives |Z|-free minimax PAC bounds for policy evaluation and best-policy extraction in exogenous contextual tabular MDPs under oracle access regimes.
arXiv preprint arXiv:2207.06272 , year=
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HPO enables unbiased policy optimization in hybrid action spaces by mixing differentiable simulation gradients with score-function estimates, outperforming PPO as continuous dimensions increase.
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Minimax PAC Bounds for Learning in Exogenous Contextual MDPs
Derives |Z|-free minimax PAC bounds for policy evaluation and best-policy extraction in exogenous contextual tabular MDPs under oracle access regimes.
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Policy Optimization in Hybrid Discrete-Continuous Action Spaces via Mixed Gradients
HPO enables unbiased policy optimization in hybrid action spaces by mixing differentiable simulation gradients with score-function estimates, outperforming PPO as continuous dimensions increase.