Learning Adversarial Low-rank Markov Decision Processes with Unknown
Transition and Full-information Feedback

Learning Adversarial Low-rank Markov Decision Processes with Unknown Transition and Full-information Feedback

14 November 2023

Baoxiang Wang

Shuai Li

Papers citing "Learning Adversarial Low-rank Markov Decision Processes with Unknown Transition and Full-information Feedback"

9 / 9 papers shown

Title
Decision Making in Hybrid Environments: A Model Aggregation Approach Haolin Liu Chen-Yu Wei Julian Zimmert 86 0 0 09 Feb 2025
Improved Sample Complexity for Reward-free Reinforcement Learning under Low-rank MDPs Yuan Cheng Ruiquan Huang J. Yang Yitao Liang OffRL 41 8 0 20 Mar 2023
Follow-the-Perturbed-Leader for Adversarial Markov Decision Processes with Bandit Feedback Yan Dai Haipeng Luo Liyu Chen 58 19 0 26 May 2022
Computationally Efficient Horizon-Free Reinforcement Learning for Linear Mixture MDPs Dongruo Zhou Quanquan Gu 75 43 0 23 May 2022
Near-optimal Policy Optimization Algorithms for Learning Adversarial Linear Mixture MDPs Jiafan He Dongruo Zhou Quanquan Gu 95 23 0 17 Feb 2021
Model-free Representation Learning and Exploration in Low-rank MDPs Aditya Modi Jinglin Chen A. Krishnamurthy Nan Jiang Alekh Agarwal OffRL 102 78 0 14 Feb 2021
Improved Variance-Aware Confidence Sets for Linear Bandits and Linear Mixture MDP Zihan Zhang Jiaqi Yang Xiangyang Ji S. Du 68 36 0 29 Jan 2021
Decoupling Representation Learning from Reinforcement Learning Adam Stooke Kimin Lee Pieter Abbeel Michael Laskin SSL DRL 284 341 0 14 Sep 2020
Optimism in Reinforcement Learning with Generalized Linear Function Approximation Yining Wang Ruosong Wang S. Du A. Krishnamurthy 135 135 0 09 Dec 2019