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2102.00479
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Fast Rates for the Regret of Offline Reinforcement Learning
Annual Conference Computational Learning Theory (COLT), 2021
31 January 2021
Yichun Hu
Nathan Kallus
Masatoshi Uehara
OffRL
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Papers citing
"Fast Rates for the Regret of Offline Reinforcement Learning"
22 / 22 papers shown
Inverse Reinforcement Learning Using Just Classification and a Few Regressions
Lars van der Laan
Nathan Kallus
Aurélien F. Bibaut
85
2
0
25 Sep 2025
Towards Optimal Offline Reinforcement Learning
Mengmeng Li
Daniel Kuhn
Tobias Sutter
OffRL
315
1
0
15 Mar 2025
Counterfactually Fair Reinforcement Learning via Sequential Data Preprocessing
Jitao Wang
C. Shi
John D. Piette
Joshua R. Loftus
Donglin Zeng
Zhenke Wu
OffRL
464
2
0
10 Jan 2025
Structured Difference-of-Q via Orthogonal Learning
Defu Cao
Angela Zhou
389
0
0
12 Jun 2024
Contextual Linear Optimization with Partial Feedback
Yichun Hu
Nathan Kallus
Xiaojie Mao
Yanchen Wu
403
0
0
26 May 2024
Taming "data-hungry" reinforcement learning? Stability in continuous state-action spaces
Neural Information Processing Systems (NeurIPS), 2024
Yaqi Duan
Martin J. Wainwright
OffRL
188
3
0
10 Jan 2024
Provable Offline Preference-Based Reinforcement Learning
International Conference on Learning Representations (ICLR), 2023
Wenhao Zhan
Masatoshi Uehara
Nathan Kallus
Jason D. Lee
Wen Sun
OffRL
346
38
0
24 May 2023
VIPeR: Provably Efficient Algorithm for Offline RL with Neural Function Approximation
International Conference on Learning Representations (ICLR), 2023
Thanh Nguyen-Tang
R. Arora
OffRL
223
6
0
24 Feb 2023
Offline Minimax Soft-Q-learning Under Realizability and Partial Coverage
Neural Information Processing Systems (NeurIPS), 2023
Masatoshi Uehara
Nathan Kallus
Jason D. Lee
Wen Sun
OffRL
332
8
0
05 Feb 2023
Efficient and robust transfer learning of optimal individualized treatment regimes with right-censored survival data
Pan Zhao
Julie Josse
Shu Yang
OffRL
245
3
0
13 Jan 2023
On Instance-Dependent Bounds for Offline Reinforcement Learning with Linear Function Approximation
AAAI Conference on Artificial Intelligence (AAAI), 2022
Thanh Nguyen-Tang
Ming Yin
Sunil R. Gupta
Svetha Venkatesh
R. Arora
OffRL
188
24
0
23 Nov 2022
Computationally Efficient PAC RL in POMDPs with Latent Determinism and Conditional Embeddings
International Conference on Machine Learning (ICML), 2022
Masatoshi Uehara
Ayush Sekhari
Jason D. Lee
Nathan Kallus
Wen Sun
200
8
0
24 Jun 2022
On Gap-dependent Bounds for Offline Reinforcement Learning
Neural Information Processing Systems (NeurIPS), 2022
Xinqi Wang
Qiwen Cui
S. Du
OffRL
232
16
0
01 Jun 2022
Offline Reinforcement Learning Under Value and Density-Ratio Realizability: The Power of Gaps
Conference on Uncertainty in Artificial Intelligence (UAI), 2022
Jinglin Chen
Nan Jiang
OffRL
339
36
0
25 Mar 2022
Testing Stationarity and Change Point Detection in Reinforcement Learning
Annals of Statistics (Ann. Stat.), 2022
Mengbing Li
C. Shi
Zhanghua Wu
Piotr Fryzlewicz
OffRL
497
13
0
03 Mar 2022
Pessimistic Model Selection for Offline Deep Reinforcement Learning
Conference on Uncertainty in Artificial Intelligence (UAI), 2021
Chao-Han Huck Yang
Zhengling Qi
Yifan Cui
Pin-Yu Chen
OffRL
230
4
0
29 Nov 2021
Offline Neural Contextual Bandits: Pessimism, Optimization and Generalization
International Conference on Learning Representations (ICLR), 2021
Thanh Nguyen-Tang
Sunil R. Gupta
A. Nguyen
Svetha Venkatesh
OffRL
215
34
0
27 Nov 2021
Stateful Offline Contextual Policy Evaluation and Learning
Nathan Kallus
Angela Zhou
OffRL
114
6
0
19 Oct 2021
Risk Minimization from Adaptively Collected Data: Guarantees for Supervised and Policy Learning
Neural Information Processing Systems (NeurIPS), 2021
Aurélien F. Bibaut
Antoine Chambaz
Maria Dimakopoulou
Nathan Kallus
Mark van der Laan
OffRL
190
17
0
03 Jun 2021
Optimal Uniform OPE and Model-based Offline Reinforcement Learning in Time-Homogeneous, Reward-Free and Task-Agnostic Settings
Neural Information Processing Systems (NeurIPS), 2021
Ming Yin
Yu Wang
OffRL
273
19
0
13 May 2021
Sample Complexity of Offline Reinforcement Learning with Deep ReLU Networks
Thanh Nguyen-Tang
Sunil R. Gupta
Hung The Tran
Svetha Venkatesh
OffRL
425
7
0
11 Mar 2021
Statistical Inference of the Value Function for Reinforcement Learning in Infinite Horizon Settings
C. Shi
Shengyao Zhang
W. Lu
R. Song
OffRL
342
88
0
13 Jan 2020
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