On Corruption-Robustness in Performative Reinforcement Learning

8 May 2025

Papers citing "On Corruption-Robustness in Performative Reinforcement Learning"

26 / 26 papers shown

Title
Independent Learning in Performative Markov Potential Games Rilind Sahitaj Paulius Sasnauskas Yiğit Yalın Debmalya Mandal Goran Radanović 83 0 0 29 Apr 2025
Corruption-Robust Offline Two-Player Zero-Sum Markov Games Andi Nika Debmalya Mandal Adish Singla Goran Radanović OffRL 61 2 0 04 Mar 2024
Performative Reinforcement Learning in Gradually Shifting Environments Ben Rank Stelios Triantafyllou Debmalya Mandal Goran Radanović OffRL 109 6 0 15 Feb 2024
Corruption-Robust Offline Reinforcement Learning with General Function Approximation Chen Ye Rui Yang Quanquan Gu Tong Zhang OffRL 90 22 0 23 Oct 2023
Zero-Regret Performative Prediction Under Inequality Constraints Wenjing Yan Xuanyu Cao 68 7 0 22 Sep 2023
COPA: Certifying Robust Policies for Offline Reinforcement Learning against Poisoning Attacks Fan Wu Linyi Li Chejian Xu Huan Zhang B. Kailkhura K. Kenthapadi Ding Zhao Yue Liu AAML OffRL 72 38 0 16 Mar 2022
Offline Reinforcement Learning with Realizability and Single-policy Concentrability Wenhao Zhan Baihe Huang Audrey Huang Nan Jiang Jason D. Lee OffRL 394 112 0 09 Feb 2022
Reproducibility in Optimization: Theoretical Framework and Limits Kwangjun Ahn Prateek Jain Ziwei Ji Satyen Kale Praneeth Netrapalli G. Shamir 59 22 0 09 Feb 2022
Multi-agent Performative Prediction: From Global Stability and Optimality to Chaos Georgios Piliouras Fang-Yi Yu 87 35 0 25 Jan 2022
Multiplayer Performative Prediction: Learning in Decision-Dependent Games Adhyyan Narang Evan Faulkner Dmitriy Drusvyatskiy Maryam Fazel Lillian J. Ratliff 68 43 0 10 Jan 2022
Can Reinforcement Learning Find Stackelberg-Nash Equilibria in General-Sum Markov Games with Myopic Followers? Han Zhong Zhuoran Yang Zhaoran Wang Michael I. Jordan 171 31 0 27 Dec 2021
On Blame Attribution for Accountable Multi-Agent Sequential Decision Making Stelios Triantafyllou Adish Singla Goran Radanović 42 12 0 26 Jul 2021
Outside the Echo Chamber: Optimizing the Performative Risk John Miller Juan C. Perdomo Tijana Zrnic 119 102 0 17 Feb 2021
How to Learn when Data Reacts to Your Model: Performative Gradient Descent Zachary Izzo Lexing Ying James Zou 125 77 0 15 Feb 2021
Performative Prediction in a Stateful World Gavin Brown Shlomi Hod Iden Kalemaj 96 84 0 08 Nov 2020
Outlier Robust Mean Estimation with Subgaussian Rates via Stability Ilias Diakonikolas D. Kane Ankit Pensia 75 59 0 30 Jul 2020
Dynamic Regret of Convex and Smooth Functions Peng Zhao Yu Zhang Lijun Zhang Zhi Zhou 102 105 0 07 Jul 2020
Stochastic Optimization for Performative Prediction Celestine Mendler-Dünner Juan C. Perdomo Tijana Zrnic Moritz Hardt 49 115 0 12 Jun 2020
Gradient-Free Methods for Saddle-Point Problem Aleksandr Beznosikov Abdurakhmon Sadiev Alexander Gasnikov 81 25 0 12 May 2020
Performative Prediction Juan C. Perdomo Tijana Zrnic Celestine Mendler-Dünner Moritz Hardt 160 322 0 16 Feb 2020
A Unified Analysis of Extra-gradient and Optimistic Gradient Methods for Saddle Point Problems: Proximal Point Approach Aryan Mokhtari Asuman Ozdaglar S. Pattathil 106 328 0 24 Jan 2019
Robust Estimation via Robust Gradient Estimation Adarsh Prasad A. Suggala Sivaraman Balakrishnan Pradeep Ravikumar 79 222 0 19 Feb 2018
Logarithmic Regret for Online Gradient Descent Beyond Strong Convexity Dan Garber 66 6 0 13 Feb 2018
Accelerating Optimization via Adaptive Prediction M. Mohri Scott Yang AI4CE 71 8 0 18 Sep 2015
Regret Bound by Variation for Online Convex Optimization Tianbao Yang M. Mahdavi Rong Jin Shenghuo Zhu 88 3 0 28 Nov 2011
Solving variational inequalities with Stochastic Mirror-Prox algorithm A. Juditsky A. Nemirovskii Claire Tauvel 140 444 0 04 Sep 2008