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2007.05456
Cited By
Improved Analysis of UCRL2 with Empirical Bernstein Inequality
10 July 2020
Ronan Fruit
Matteo Pirotta
A. Lazaric
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Papers citing
"Improved Analysis of UCRL2 with Empirical Bernstein Inequality"
19 / 19 papers shown
Tail Distribution of Regret in Optimistic Reinforcement Learning
Sajad Khodadadian
Mehrdad Moharrami
150
0
0
23 Nov 2025
Statistical Guarantees for Offline Domain Randomization
Arnaud Fickinger
Abderrahim Bendahi
Stuart J. Russell
OffRL
345
0
0
11 Jun 2025
Model Selection for Average Reward RL with Application to Utility Maximization in Repeated Games
Alireza Masoumian
James R. Wright
587
2
0
09 Nov 2024
Learning Infinite-Horizon Average-Reward Linear Mixture MDPs of Bounded Span
International Conference on Artificial Intelligence and Statistics (AISTATS), 2024
Woojin Chae
Kihyuk Hong
Yufan Zhang
Ambuj Tewari
Dabeen Lee
208
1
0
19 Oct 2024
Achieving Tractable Minimax Optimal Regret in Average Reward MDPs
Victor Boone
Zihan Zhang
232
10
0
03 Jun 2024
Reinforcement Learning for Infinite-Horizon Average-Reward Linear MDPs via Approximation by Discounted-Reward MDPs
International Conference on Artificial Intelligence and Statistics (AISTATS), 2024
Kihyuk Hong
Yufan Zhang
Ambuj Tewari
Dabeen Lee
Ambuj Tewari
471
1
0
23 May 2024
On Reward Structures of Markov Decision Processes
Falcon Z. Dai
308
1
0
28 Aug 2023
A Cover Time Study of a non-Markovian Algorithm
Guanhua Fang
G. Samorodnitsky
Zhiqiang Xu
315
0
0
08 Jun 2023
Horizon-Free and Variance-Dependent Reinforcement Learning for Latent Markov Decision Processes
International Conference on Machine Learning (ICML), 2022
Runlong Zhou
Ruosong Wang
S. Du
428
3
0
20 Oct 2022
Optimism and Delays in Episodic Reinforcement Learning
International Conference on Artificial Intelligence and Statistics (AISTATS), 2021
Benjamin Howson
Ciara Pike-Burke
Sarah Filippi
268
8
0
15 Nov 2021
Understanding Domain Randomization for Sim-to-real Transfer
Xiaoyu Chen
Jiachen Hu
Chi Jin
Lihong Li
Liwei Wang
473
164
0
07 Oct 2021
Nearly Minimax Optimal Regret for Learning Infinite-horizon Average-reward MDPs with Linear Function Approximation
International Conference on Artificial Intelligence and Statistics (AISTATS), 2021
Yue Wu
Dongruo Zhou
Quanquan Gu
227
23
0
15 Feb 2021
Improved Sample Complexity for Incremental Autonomous Exploration in MDPs
Neural Information Processing Systems (NeurIPS), 2020
Jean Tarbouriech
Matteo Pirotta
Michal Valko
A. Lazaric
222
13
0
29 Dec 2020
Local Differential Privacy for Regret Minimization in Reinforcement Learning
Evrard Garcelon
Vianney Perchet
Ciara Pike-Burke
Matteo Pirotta
397
42
0
15 Oct 2020
Improved Exploration in Factored Average-Reward MDPs
International Conference on Artificial Intelligence and Statistics (AISTATS), 2020
M. S. Talebi
Anders Jonsson
Odalric-Ambrym Maillard
259
9
0
09 Sep 2020
Learning Infinite-horizon Average-reward MDPs with Linear Function Approximation
International Conference on Artificial Intelligence and Statistics (AISTATS), 2020
Chen-Yu Wei
Mehdi Jafarnia-Jahromi
Haipeng Luo
Rahul Jain
385
53
0
23 Jul 2020
A Provably Efficient Sample Collection Strategy for Reinforcement Learning
Neural Information Processing Systems (NeurIPS), 2020
Jean Tarbouriech
Matteo Pirotta
Michal Valko
A. Lazaric
OffRL
334
20
0
13 Jul 2020
Tightening Exploration in Upper Confidence Reinforcement Learning
International Conference on Machine Learning (ICML), 2020
Hippolyte Bourel
Odalric-Ambrym Maillard
M. S. Talebi
355
38
0
20 Apr 2020
No-Regret Exploration in Goal-Oriented Reinforcement Learning
International Conference on Machine Learning (ICML), 2019
Jean Tarbouriech
Evrard Garcelon
Michal Valko
Matteo Pirotta
A. Lazaric
339
48
0
07 Dec 2019
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