A Kernel-Based Approach to Non-Stationary Reinforcement Learning in
Metric Spaces

A Kernel-Based Approach to Non-Stationary Reinforcement Learning in Metric Spaces

9 July 2020

O. D. Domingues

Pierre Ménard

Papers citing "A Kernel-Based Approach to Non-Stationary Reinforcement Learning in Metric Spaces"

10 / 10 papers shown

Title
MetaCURL: Non-stationary Concave Utility Reinforcement Learning B. Moreno Margaux Brégère Pierre Gaillard Nadia Oudjane OffRL 39 0 0 30 May 2024
Online Reinforcement Learning in Periodic MDP Ayush Aniket Arpan Chattopadhyay 29 2 0 16 Mar 2023
Non-stationary Risk-sensitive Reinforcement Learning: Near-optimal Dynamic Regret, Adaptive Detection, and Separation Design Yuhao Ding Ming Jin Javad Lavaei 24 6 0 19 Nov 2022
Dynamic Regret of Online Markov Decision Processes Peng Zhao Longfei Li Zhi-Hua Zhou OffRL 39 17 0 26 Aug 2022
Performative Reinforcement Learning Debmalya Mandal Stelios Triantafyllou Goran Radanović 36 18 0 30 Jun 2022
Testing Stationarity and Change Point Detection in Reinforcement Learning Mengbing Li C. Shi Zhanghua Wu Piotr Fryzlewicz OffRL 42 9 0 03 Mar 2022
Dealing with Non-Stationarity in MARL via Trust-Region Decomposition Wenhao Li Xiangfeng Wang Bo Jin Junjie Sheng H. Zha 31 7 0 21 Feb 2021
Robust Policy Gradient against Strong Data Corruption Xuezhou Zhang Yiding Chen Xiaojin Zhu Wen Sun AAML 40 37 0 11 Feb 2021
Efficient Learning in Non-Stationary Linear Markov Decision Processes Ahmed Touati Pascal Vincent 37 29 0 24 Oct 2020
Weighted Linear Bandits for Non-Stationary Environments Yoan Russac Claire Vernade Olivier Cappé 82 101 0 19 Sep 2019