Offline Reinforcement Learning with Realizability and Single-policy Concentrability

9 February 2022

Papers citing "Offline Reinforcement Learning with Realizability and Single-policy Concentrability"

32 / 32 papers shown

Title
On Corruption-Robustness in Performative Reinforcement Learning Vasilis Pollatos Debmalya Mandal Goran Radanović 29 1 0 08 May 2025
A Two-Timescale Primal-Dual Framework for Reinforcement Learning via Online Dual Variable Guidance Axel Friedrich Wolter Tobias Sutter OffRL 34 0 0 07 May 2025
Can RLHF be More Efficient with Imperfect Reward Models? A Policy Coverage Perspective Jiawei Huang Bingcong Li Christoph Dann Niao He OffRL 77 0 0 26 Feb 2025
OffLight: An Offline Multi-Agent Reinforcement Learning Framework for Traffic Signal Control Rohit Bokade Xiaoning Jin OffRL 35 0 0 10 Nov 2024
Offline RL via Feature-Occupancy Gradient Ascent Gergely Neu Nneka Okolo OffRL 29 0 0 22 May 2024
A Unified Linear Programming Framework for Offline Reward Learning from Human Demonstrations and Feedback Kihyun Kim Jiawei Zhang Asuman Ozdaglar P. Parrilo OffRL 33 1 0 20 May 2024
Contrastive Representation for Data Filtering in Cross-Domain Offline Reinforcement Learning Xiaoyu Wen Chenjia Bai Kang Xu Xudong Yu Yang Zhang Xuelong Li Zhen Wang 34 2 0 10 May 2024
On the Curses of Future and History in Future-dependent Value Functions for Off-policy Evaluation Yuheng Zhang Nan Jiang OffRL 27 4 0 22 Feb 2024
On Sample-Efficient Offline Reinforcement Learning: Data Diversity, Posterior Sampling, and Beyond Thanh Nguyen-Tang Raman Arora OffRL 25 3 0 06 Jan 2024
Neural Network Approximation for Pessimistic Offline Reinforcement Learning Di Wu Yuling Jiao Li Shen Haizhao Yang Xiliang Lu OffRL 24 1 0 19 Dec 2023
On the Theory of Risk-Aware Agents: Bridging Actor-Critic and Economics Michal Nauman Marek Cygan 27 1 0 30 Oct 2023
When is Agnostic Reinforcement Learning Statistically Tractable? Zeyu Jia Gene Li Alexander Rakhlin Ayush Sekhari Nathan Srebro OffRL 22 5 0 09 Oct 2023
Stackelberg Batch Policy Learning Wenzhuo Zhou Annie Qu OffRL 27 0 0 28 Sep 2023
Policy Finetuning in Reinforcement Learning via Design of Experiments using Offline Data Ruiqi Zhang Andrea Zanette OffRL OnRL 35 5 0 10 Jul 2023
Offline Primal-Dual Reinforcement Learning for Linear MDPs Germano Gabbianelli Gergely Neu Nneka Okolo Matteo Papini OffRL 29 7 0 22 May 2023
Double Pessimism is Provably Efficient for Distributionally Robust Offline Reinforcement Learning: Generic Algorithm and Robust Partial Coverage Jose H. Blanchet Miao Lu Tong Zhang Han Zhong OffRL 37 29 0 16 May 2023
Local Optimization Achieves Global Optimality in Multi-Agent Reinforcement Learning Yulai Zhao Zhuoran Yang Zhaoran Wang Jason D. Lee 35 3 0 08 May 2023
Leveraging Factored Action Spaces for Efficient Offline Reinforcement Learning in Healthcare Shengpu Tang Maggie Makar Michael Sjoding Finale Doshi-Velez Jenna Wiens OffRL 48 37 0 02 May 2023
VIPeR: Provably Efficient Algorithm for Offline RL with Neural Function Approximation Thanh Nguyen-Tang R. Arora OffRL 38 5 0 24 Feb 2023
Robust Knowledge Transfer in Tiered Reinforcement Learning Jiawei Huang Niao He OffRL 21 1 0 10 Feb 2023
Offline Learning in Markov Games with General Function Approximation Yuheng Zhang Yunru Bai Nan Jiang OffRL 13 8 0 06 Feb 2023
Offline Minimax Soft-Q-learning Under Realizability and Partial Coverage Masatoshi Uehara Nathan Kallus Jason D. Lee Wen Sun OffRL 22 5 0 05 Feb 2023
Importance Weighted Actor-Critic for Optimal Conservative Offline Reinforcement Learning Hanlin Zhu Paria Rashidinejad Jiantao Jiao OffRL 30 15 0 30 Jan 2023
Beyond the Return: Off-policy Function Estimation under User-specified Error-measuring Distributions Audrey Huang Nan Jiang OffRL 43 9 0 27 Oct 2022
Efficient Global Planning in Large MDPs via Stochastic Primal-Dual Optimization Gergely Neu Nneka Okolo 22 6 0 21 Oct 2022
Performative Reinforcement Learning Debmalya Mandal Stelios Triantafyllou Goran Radanović 25 17 0 30 Jun 2022
Relative Policy-Transition Optimization for Fast Policy Transfer Jiawei Xu Cheng Zhou Yizheng Zhang Zhengyou Zhang Lei Han 16 0 0 13 Jun 2022
Federated Offline Reinforcement Learning D. Zhou Yufeng Zhang Aaron Sonabend-W Zhaoran Wang Junwei Lu Tianxi Cai OffRL 29 13 0 11 Jun 2022
Pessimism in the Face of Confounders: Provably Efficient Offline Reinforcement Learning in Partially Observable Markov Decision Processes Miao Lu Yifei Min Zhaoran Wang Zhuoran Yang OffRL 45 22 0 26 May 2022
Offline Reinforcement Learning Under Value and Density-Ratio Realizability: The Power of Gaps Jinglin Chen Nan Jiang OffRL 19 33 0 25 Mar 2022
A Complete Characterization of Linear Estimators for Offline Policy Evaluation Juan C. Perdomo A. Krishnamurthy Peter L. Bartlett Sham Kakade OffRL 27 3 0 08 Mar 2022
Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems Sergey Levine Aviral Kumar George Tucker Justin Fu OffRL GP 329 1,949 0 04 May 2020