Papers citing 'Bellman-consistent Pessimism for Offline Reinforcement Learning'

Title
Bellman Residual Orthogonalization for Offline Reinforcement LearningNeural Information Processing Systems (NeurIPS), 2022 Andrea Zanette Martin J. Wainwright OffRL 234 8 0 24 Mar 2022
Near-optimal Offline Reinforcement Learning with Linear Representation: Leveraging Variance Information with PessimismInternational Conference on Learning Representations (ICLR), 2022 Ming Yin Yaqi Duan Mengdi Wang Yu Wang OffRL 180 68 0 11 Mar 2022
Pessimistic Q-Learning for Offline Reinforcement Learning: Towards Optimal Sample ComplexityInternational Conference on Machine Learning (ICML), 2022 Laixi Shi Gen Li Yuting Wei Yuxin Chen Yuejie Chi OffRL 194 101 0 28 Feb 2022
Statistically Efficient Advantage Learning for Offline Reinforcement Learning in Infinite HorizonsJournal of the American Statistical Association (JASA), 2022 C. Shi Shuang Luo Yuan Le Hongtu Zhu R. Song OffRL OnRL 144 14 0 26 Feb 2022
Pessimistic Bootstrapping for Uncertainty-Driven Offline Reinforcement LearningInternational Conference on Learning Representations (ICLR), 2022 Chenjia Bai Lingxiao Wang Zhuoran Yang Zhihong Deng Animesh Garg Peng Liu Zhaoran Wang OffRL 158 151 0 23 Feb 2022
Pessimistic Minimax Value Iteration: Provably Efficient Equilibrium Learning from Offline DatasetsInternational Conference on Machine Learning (ICML), 2022 Han Zhong Wei Xiong Jiyuan Tan Liwei Wang Tong Zhang Zhaoran Wang Zhuoran Yang OffRL 122 40 0 15 Feb 2022
Towards Deployment-Efficient Reinforcement Learning: Lower Bound and OptimalityInternational Conference on Learning Representations (ICLR), 2022 Jiawei Huang Jinglin Chen Li Zhao Tao Qin Nan Jiang Tie-Yan Liu OffRL 186 26 0 14 Feb 2022
Offline Reinforcement Learning with Realizability and Single-policy ConcentrabilityAnnual Conference Computational Learning Theory (COLT), 2022 Wenhao Zhan Baihe Huang Audrey Huang Nan Jiang Jason D. Lee OffRL 486 117 0 09 Feb 2022
Adversarially Trained Actor Critic for Offline Reinforcement LearningInternational Conference on Machine Learning (ICML), 2022 Ching-An Cheng Tengyang Xie Nan Jiang Alekh Agarwal OffRL 174 140 0 05 Feb 2022
Optimal Estimation of Off-Policy Policy Gradient via Double Fitted Iteration Chengzhuo Ni Ruiqi Zhang Xiang Ji Xuezhou Zhang Mengdi Wang OffRL 155 1 0 31 Jan 2022
On Well-posedness and Minimax Optimal Rates of Nonparametric Q-function Estimation in Off-policy EvaluationInternational Conference on Machine Learning (ICML), 2022 Xiaohong Chen Zhengling Qi OffRL 255 35 0 17 Jan 2022
When is Offline Two-Player Zero-Sum Markov Game Solvable? Qiwen Cui S. Du OffRL 110 29 0 10 Jan 2022
Model Selection in Batch Policy OptimizationInternational Conference on Machine Learning (ICML), 2021 Jonathan Lee George Tucker Ofir Nachum Bo Dai OffRL 124 12 0 23 Dec 2021
Pessimistic Model Selection for Offline Deep Reinforcement LearningConference on Uncertainty in Artificial Intelligence (UAI), 2021 Chao-Han Huck Yang Zhengling Qi Yifan Cui Pin-Yu Chen OffRL 146 4 0 29 Nov 2021
Towards Hyperparameter-free Policy Selection for Offline Reinforcement Learning Siyuan Zhang Nan Jiang OffRL 221 39 0 26 Oct 2021
False Correlation Reduction for Offline Reinforcement LearningIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021 Arvindkumar Krishnakumar Zuyue Fu Lingxiao Wang Zhuoran Yang Chenjia Bai Tianyi Zhou Judy Hoffman Jing Jiang OffRL 114 11 0 24 Oct 2021
Towards Instance-Optimal Offline Reinforcement Learning with Pessimism Ming Yin Yu Wang OffRL 179 85 0 17 Oct 2021
Representation Learning for Online and Offline RL in Low-rank MDPsInternational Conference on Learning Representations (ICLR), 2021 Masatoshi Uehara Xuezhou Zhang Wen Sun OffRL 308 132 0 09 Oct 2021
Provable Benefits of Actor-Critic Methods for Offline Reinforcement Learning Andrea Zanette Martin J. Wainwright Emma Brunskill OffRL 178 126 0 19 Aug 2021
Provably Efficient Generative Adversarial Imitation Learning for Online and Offline Setting with Linear Function Approximation Zhihan Liu Yufeng Zhang Zuyue Fu Zhuoran Yang Zhaoran Wang OffRL 87 7 0 19 Aug 2021
Pessimistic Model-based Offline Reinforcement Learning under Partial Coverage Masatoshi Uehara Wen Sun OffRL 269 157 0 13 Jul 2021
Provably Efficient Representation Selection in Low-rank Markov Decision Processes: From Online to Offline RLConference on Uncertainty in Artificial Intelligence (UAI), 2021 Weitong Zhang Jiafan He Dongruo Zhou Amy Zhang Quanquan Gu OffRL 159 12 0 22 Jun 2021
The Curse of Passive Data Collection in Batch Reinforcement Learning Chenjun Xiao Ilbin Lee Bo Dai Dale Schuurmans Csaba Szepesvári OffRL 116 1 0 18 Jun 2021
Sample Complexity of Offline Reinforcement Learning with Deep ReLU Networks Thanh Nguyen-Tang Sunil R. Gupta Hung The Tran Svetha Venkatesh OffRL 230 7 0 11 Mar 2021