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Variational Regret Bounds for Reinforcement Learning

14 May 2019

Papers citing "Variational Regret Bounds for Reinforcement Learning"

23 / 23 papers shown

Title
MetaCURL: Non-stationary Concave Utility Reinforcement Learning B. Moreno Margaux Brégère Pierre Gaillard Nadia Oudjane OffRL 87 1 0 30 May 2024
Decision Making in Non-Stationary Environments with Policy-Augmented Search Ava Pettet Yunuo Zhang Baiting Luo Kyle Wray Hendrik Baier Aron Laszka Abhishek Dubey Ayan Mukhopadhyay 51 4 0 06 Jan 2024
Restarted Bayesian Online Change-point Detection for Non-Stationary Markov Decision Processes Réda Alami Mohammed Mahfoud Eric Moulines 62 3 0 01 Apr 2023
Online Reinforcement Learning in Periodic MDP Ayush Aniket Arpan Chattopadhyay 53 4 0 16 Mar 2023
Dynamics-Adaptive Continual Reinforcement Learning via Progressive Contextualization Tiantian Zhang Zichuan Lin Yuxing Wang Deheng Ye Qiang Fu Wei Yang Xueqian Wang Bin Liang Bo Yuan Xiu Li CLL 101 11 0 01 Sep 2022
Dynamic Regret of Online Markov Decision Processes Peng Zhao Longfei Li Zhi Zhou OffRL 101 17 0 26 Aug 2022
Lifelong Hyper-Policy Optimization with Multiple Importance Sampling Regularization P. Liotet Francesco Vidaich Alberto Maria Metelli Marcello Restelli OffRL 68 8 0 13 Dec 2021
Optimistic Policy Optimization is Provably Efficient in Non-stationary MDPs Han Zhong Zhuoran Yang Zhaoran Wang Csaba Szepesvári 117 21 0 18 Oct 2021
Markov Decision Processes with Long-Term Average Constraints Mridul Agarwal Qinbo Bai Vaneet Aggarwal 52 6 0 12 Jun 2021
Unsupervised Person Re-identification via Simultaneous Clustering and Consistency Learning Hanne I Oberman Jiayan Qiu S. van Buuren G. Vink Zhanyu Ma Jun Guo 57 15 0 01 Apr 2021
Dealing with Non-Stationarity in MARL via Trust-Region Decomposition Wenhao Li Xiangfeng Wang Bo Jin Junjie Sheng H. Zha 131 9 0 21 Feb 2021
Robust Policy Gradient against Strong Data Corruption Xuezhou Zhang Yiding Chen Xiaojin Zhu Wen Sun AAML 99 39 0 11 Feb 2021
Non-stationary Reinforcement Learning without Prior Knowledge: An Optimal Black-box Approach Chen-Yu Wei Haipeng Luo OffRL 187 107 0 10 Feb 2021
Efficient Learning in Non-Stationary Linear Markov Decision Processes Ahmed Touati Pascal Vincent 108 29 0 24 Oct 2020
A Relearning Approach to Reinforcement Learning for Control of Smart Buildings Avisek Naug Marcos Quiñones-Grueiro G. Biswas CLL 52 11 0 04 Aug 2020
A Kernel-Based Approach to Non-Stationary Reinforcement Learning in Metric Spaces O. D. Domingues Pierre Ménard Matteo Pirotta E. Kaufmann Michal Valko 80 40 0 09 Jul 2020
Dynamic Regret of Policy Optimization in Non-stationary Environments Yingjie Fei Zhuoran Yang Zhaoran Wang Qiaomin Xie 93 56 0 30 Jun 2020
Lipschitzness Is All You Need To Tame Off-policy Generative Adversarial Imitation Learning Lionel Blondé Pablo Strasser Alexandros Kalousis 90 22 0 28 Jun 2020
Reinforcement Learning for Non-Stationary Markov Decision Processes: The Blessing of (More) Optimism Wang Chi Cheung D. Simchi-Levi Ruihao Zhu OffRL 98 96 0 24 Jun 2020
Linear Last-iterate Convergence in Constrained Saddle-point Optimization Chen-Yu Wei Chung-Wei Lee Mengxiao Zhang Haipeng Luo 139 11 0 16 Jun 2020
A Survey of Reinforcement Learning Algorithms for Dynamically Varying Environments Sindhu Padakandla 75 155 0 19 May 2020
Contextual Blocking Bandits Soumya Basu Orestis Papadigenopoulos Constantine Caramanis Sanjay Shakkottai 83 21 0 06 Mar 2020
Learning and Planning for Time-Varying MDPs Using Maximum Likelihood Estimation Melkior Ornik Ufuk Topcu OOD 41 15 0 29 Nov 2019