Tight Regret Bounds for Model-Based Reinforcement Learning with Greedy Policies

27 May 2019

Papers citing "Tight Regret Bounds for Model-Based Reinforcement Learning with Greedy Policies"

22 / 22 papers shown

Title
Ensuring Safety in an Uncertain Environment: Constrained MDPs via Stochastic Thresholds Qian Zuo Fengxiang He 95 0 0 07 Apr 2025
Settling the Sample Complexity of Online Reinforcement Learning Zihan Zhang Yuxin Chen Jason D. Lee S. Du OffRL 165 23 0 25 Jul 2023
Worst-Case Regret Bounds for Exploration via Randomized Value Functions Daniel Russo OffRL 43 85 0 07 Jun 2019
Tighter Problem-Dependent Regret Bounds in Reinforcement Learning without Domain Knowledge using Value Function Bounds Andrea Zanette Emma Brunskill OffRL 95 276 0 01 Jan 2019
Learning Latent Dynamics for Planning from Pixels Danijar Hafner Timothy Lillicrap Ian S. Fischer Ruben Villegas David R Ha Honglak Lee James Davidson BDL 84 1,435 0 12 Nov 2018
Policy Certificates: Towards Accountable Reinforcement Learning Christoph Dann Ashutosh Adhikari Wei Wei Jimmy J. Lin OffRL 108 144 0 07 Nov 2018
How to Combine Tree-Search Methods in Reinforcement Learning Yonathan Efroni Gal Dalal B. Scherrer Shie Mannor 51 31 0 06 Sep 2018
Is Q-learning Provably Efficient? Chi Jin Zeyuan Allen-Zhu Sébastien Bubeck Michael I. Jordan OffRL 63 806 0 10 Jul 2018
Feedback-Based Tree Search for Reinforcement Learning Daniel R. Jiang E. Ekwedike Han Liu 98 29 0 15 May 2018
Variance-Aware Regret Bounds for Undiscounted Reinforcement Learning in MDPs M. S. Talebi Odalric-Ambrym Maillard 56 72 0 05 Mar 2018
Efficient Bias-Span-Constrained Exploration-Exploitation in Reinforcement Learning Ronan Fruit Matteo Pirotta A. Lazaric R. Ortner 81 116 0 12 Feb 2018
Deep Dyna-Q: Integrating Planning for Task-Completion Dialogue Policy Learning Baolin Peng Xiujun Li Jianfeng Gao Jingjing Liu Kam-Fai Wong Shang-Yu Su OffRL 60 156 0 18 Jan 2018
Unifying PAC and Regret: Uniform PAC Bounds for Episodic Reinforcement Learning Christoph Dann Tor Lattimore Emma Brunskill 72 309 0 22 Mar 2017
Minimax Regret Bounds for Reinforcement Learning M. G. Azar Ian Osband Rémi Munos 80 774 0 16 Mar 2017
On Lower Bounds for Regret in Reinforcement Learning Ian Osband Benjamin Van Roy 79 101 0 09 Aug 2016
Why is Posterior Sampling Better than Optimism for Reinforcement Learning? Ian Osband Benjamin Van Roy BDL 76 260 0 01 Jul 2016
Value Iteration Networks Aviv Tamar Yi Wu G. Thomas Sergey Levine Pieter Abbeel 73 653 0 09 Feb 2016
(More) Efficient Reinforcement Learning via Posterior Sampling Ian Osband Daniel Russo Benjamin Van Roy 116 533 0 04 Jun 2013
Planning by Prioritized Sweeping with Small Backups H. V. Seijen R. Sutton 58 34 0 10 Jan 2013
Incremental Model-based Learners With Formal Learning-Time Guarantees Alexander L. Strehl Lihong Li Michael L. Littman 82 61 0 27 Jun 2012
REGAL: A Regularization based Algorithm for Reinforcement Learning in Weakly Communicating MDPs Peter L. Bartlett Ambuj Tewari 89 283 0 09 May 2012
Empirical Bernstein Bounds and Sample Variance Penalization Andreas Maurer Massimiliano Pontil 364 542 0 21 Jul 2009