Rate-Optimal Policy Optimization for Linear Markov Decision Processes

Rate-Optimal Policy Optimization for Linear Markov Decision Processes

28 August 2023

Papers citing "Rate-Optimal Policy Optimization for Linear Markov Decision Processes"

10 / 10 papers shown

Title
Narrowing the Gap between Adversarial and Stochastic MDPs via Policy Optimization D. Tiapkin Evgenii Chzhen Gilles Stoltz 74 0 0 08 Jul 2024
Warm-up Free Policy Optimization: Improved Regret in Linear Markov Decision Processes Asaf B. Cassel Aviv A. Rosenberg 35 1 0 03 Jul 2024
Near-Optimal Regret in Linear MDPs with Aggregate Bandit Feedback Asaf B. Cassel Haipeng Luo Aviv A. Rosenberg Dmitry Sotnikov OffRL 29 3 0 13 May 2024
Imitation Learning in Discounted Linear MDPs without exploration assumptions Luca Viano Stratis Skoulakis V. Cevher 30 3 0 03 May 2024
Refined Sample Complexity for Markov Games with Independent Linear Function Approximation Yan Dai Qiwen Cui S. S. Du 35 1 0 11 Feb 2024
Rethinking Model-based, Policy-based, and Value-based Reinforcement Learning via the Lens of Representation Complexity Guhao Feng Han Zhong OffRL 68 3 0 28 Dec 2023
Towards Optimal Regret in Adversarial Linear MDPs with Bandit Feedback Haolin Liu Chen-Yu Wei Julian Zimmert 17 6 0 17 Oct 2023
Training language models to follow instructions with human feedback Long Ouyang Jeff Wu Xu Jiang Diogo Almeida Carroll L. Wainwright ... Amanda Askell Peter Welinder Paul Christiano Jan Leike Ryan J. Lowe OSLM ALM 303 11,881 0 04 Mar 2022
First-Order Regret in Reinforcement Learning with Linear Function Approximation: A Robust Estimation Approach Andrew Wagenmaker Yifang Chen Max Simchowitz S. Du Kevin G. Jamieson 71 36 0 07 Dec 2021
Policy Mirror Descent for Reinforcement Learning: Linear Convergence, New Sampling Complexity, and Generalized Problem Classes Guanghui Lan 87 136 0 30 Jan 2021