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Smoothing Policies and Safe Policy Gradients.

, , и . CoRR, (2019)

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Matteo Garavoglia

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Efficient Bias-Span-Constrained Exploration-Exploitation in Reinforcement Learning., , , и . ICML, том 80 из Proceedings of Machine Learning Research, стр. 1573-1581. PMLR, (2018)Stochastic Variance-Reduced Policy Gradient., , , , и . ICML, том 80 из Proceedings of Machine Learning Research, стр. 4023-4032. PMLR, (2018)No-Regret Exploration in Goal-Oriented Reinforcement Learning., , , , и . CoRR, (2019)Inverse Reinforcement Learning through Policy Gradient Minimization., и . AAAI, стр. 1993-1999. AAAI Press, (2016)Reinforcement Learning in Linear MDPs: Constant Regret and Representation Selection., , , , , и . NeurIPS, стр. 16371-16383. (2021)Leveraging Good Representations in Linear Contextual Bandits., , , , и . ICML, том 139 из Proceedings of Machine Learning Research, стр. 8371-8380. PMLR, (2021)On the Complexity of Representation Learning in Contextual Linear Bandits., , и . AISTATS, том 206 из Proceedings of Machine Learning Research, стр. 7871-7896. PMLR, (2023)A Unified Framework for Conservative Exploration., , , , , , , и . CoRR, (2021)Estimating the Maximum Expected Value in Continuous Reinforcement Learning Problems., , , и . AAAI, стр. 1840-1846. AAAI Press, (2017)Optimal control to reduce emissions in gasoline engines: an iterative learning control approach for ECU calibration maps improvement., , , , , , , и . ECC, стр. 1420-1425. IEEE, (2015)