Corruption-robust exploration in episodic reinforcement learning

20 November 2019

Max Simchowitz

Papers citing "Corruption-robust exploration in episodic reinforcement learning"

30 / 30 papers shown

Title
Beyond IID: data-driven decision-making in heterogeneous environments Omar Besbes Will Ma Omar Mouchtaki 42 7 0 03 Jan 2025
Distributionally Robust Reinforcement Learning with Interactive Data Collection: Fundamental Hardness and Near-Optimal Algorithm Miao Lu Han Zhong Tong Zhang Jose H. Blanchet OffRL OOD 79 6 0 04 Apr 2024
Offline Primal-Dual Reinforcement Learning for Linear MDPs Germano Gabbianelli Gergely Neu Nneka Okolo Matteo Papini OffRL 31 7 0 22 May 2023
Policy Resilience to Environment Poisoning Attacks on Reinforcement Learning Hang Xu Xinghua Qu Zinovi Rabinovich 37 1 0 24 Apr 2023
Improved Sample Complexity Bounds for Distributionally Robust Reinforcement Learning Zaiyan Xu Kishan Panaganti D. Kalathil OOD OffRL 34 31 0 05 Mar 2023
Implicit Poisoning Attacks in Two-Agent Reinforcement Learning: Adversarial Policies for Training-Time Attacks Mohammad Mohammadi Jonathan Nöther Debmalya Mandal Adish Singla Goran Radanović AAML OffRL 35 9 0 27 Feb 2023
Improved Regret for Efficient Online Reinforcement Learning with Linear Function Approximation Uri Sherman Tomer Koren Yishay Mansour 32 12 0 30 Jan 2023
Contexts can be Cheap: Solving Stochastic Contextual Bandits with Linear Bandit Algorithms Osama A. Hanna Lin F. Yang Christina Fragouli 27 11 0 08 Nov 2022
Performative Reinforcement Learning Debmalya Mandal Stelios Triantafyllou Goran Radanović 36 18 0 30 Jun 2022
Computationally Efficient PAC RL in POMDPs with Latent Determinism and Conditional Embeddings Masatoshi Uehara Ayush Sekhari Jason D. Lee Nathan Kallus Wen Sun 60 6 0 24 Jun 2022
Reward Poisoning Attacks on Offline Multi-Agent Reinforcement Learning Young Wu Jermey McMahan Xiaojin Zhu Qiaomin Xie AAML OffRL 31 15 0 04 Jun 2022
Byzantine-Robust Online and Offline Distributed Reinforcement Learning Yiding Chen Xuezhou Zhang Kaipeng Zhang Mengdi Wang Xiaojin Zhu OffRL 26 16 0 01 Jun 2022
Efficient Reward Poisoning Attacks on Online Deep Reinforcement Learning Yinglun Xu Qi Zeng Gagandeep Singh AAML 40 6 0 30 May 2022
Provable Benefits of Representational Transfer in Reinforcement Learning Alekh Agarwal Yuda Song Wen Sun Kaiwen Wang Mengdi Wang Xuezhou Zhang OffRL 25 33 0 29 May 2022
Review of Metrics to Measure the Stability, Robustness and Resilience of Reinforcement Learning L. Pullum 26 2 0 22 Mar 2022
Efficient Reinforcement Learning in Block MDPs: A Model-free Representation Learning Approach Xuezhou Zhang Yuda Song Masatoshi Uehara Mengdi Wang Alekh Agarwal Wen Sun OffRL 34 57 0 31 Jan 2022
Learning Stochastic Shortest Path with Linear Function Approximation Steffen Czolbe Jiafan He Adrian Dalca Quanquan Gu 44 30 0 25 Oct 2021
Representation Learning for Online and Offline RL in Low-rank MDPs Masatoshi Uehara Xuezhou Zhang Wen Sun OffRL 67 127 0 09 Oct 2021
On Optimal Robustness to Adversarial Corruption in Online Decision Problems Shinji Ito 42 22 0 22 Sep 2021
Gap-Dependent Unsupervised Exploration for Reinforcement Learning Jingfeng Wu Vladimir Braverman Lin F. Yang 33 12 0 11 Aug 2021
The best of both worlds: stochastic and adversarial episodic MDPs with unknown transition Tiancheng Jin Longbo Huang Haipeng Luo 27 40 0 08 Jun 2021
Multiplicative Reweighting for Robust Neural Network Optimization Noga Bar Tomer Koren Raja Giryes OOD NoLa 18 9 0 24 Feb 2021
Improved Corruption Robust Algorithms for Episodic Reinforcement Learning Yifang Chen S. Du Kevin G. Jamieson 24 22 0 13 Feb 2021
Robust Policy Gradient against Strong Data Corruption Xuezhou Zhang Yiding Chen Xiaojin Zhu Wen Sun AAML 40 37 0 11 Feb 2021
Defense Against Reward Poisoning Attacks in Reinforcement Learning Kiarash Banihashem Adish Singla Goran Radanović AAML 37 26 0 10 Feb 2021
Learning Adversarial Markov Decision Processes with Delayed Feedback Tal Lancewicki Aviv A. Rosenberg Yishay Mansour 43 32 0 29 Dec 2020
Policy Teaching in Reinforcement Learning via Environment Poisoning Attacks Amin Rakhsha Goran Radanović R. Devidze Xiaojin Zhu Adish Singla AAML OffRL 30 29 0 21 Nov 2020
Dynamic Regret of Policy Optimization in Non-stationary Environments Yingjie Fei Zhuoran Yang Zhaoran Wang Qiaomin Xie 32 54 0 30 Jun 2020
Provable Self-Play Algorithms for Competitive Reinforcement Learning Yu Bai Chi Jin SSL 22 148 0 10 Feb 2020
Optimism in Reinforcement Learning with Generalized Linear Function Approximation Yining Wang Ruosong Wang S. Du A. Krishnamurthy 137 135 0 09 Dec 2019