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

Title
Achieve Performatively Optimal Policy for Performative Reinforcement Learning Ziyi Chen Heng Huang 85 0 0 06 Oct 2025
Independent Learning in Performative Markov Potential GamesInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2025 Rilind Sahitaj Paulius Sasnauskas Yiğit Yalın Debmalya Mandal Goran Radanović 261 2 0 29 Apr 2025
Corruption-Robust Offline Two-Player Zero-Sum Markov Games Andi Nika Debmalya Mandal Adish Singla Goran Radanović OffRL 166 2 0 04 Mar 2024
Performative Reinforcement Learning in Gradually Shifting Environments Ben Rank Stelios Triantafyllou Debmalya Mandal Goran Radanović OffRL 294 8 0 15 Feb 2024
Corruption-Robust Offline Reinforcement Learning with General Function ApproximationNeural Information Processing Systems (NeurIPS), 2023 Chen Ye Rui Yang Quanquan Gu Tong Zhang OffRL 380 29 0 23 Oct 2023
Zero-Regret Performative Prediction Under Inequality ConstraintsNeural Information Processing Systems (NeurIPS), 2023 Wenjing Yan Xuanyu Cao 191 10 0 22 Sep 2023
COPA: Certifying Robust Policies for Offline Reinforcement Learning against Poisoning AttacksInternational Conference on Learning Representations (ICLR), 2022 Fan Wu Linyi Li Chejian Xu Huan Zhang B. Kailkhura K. Kenthapadi Ding Zhao Yue Liu AAML OffRL 154 39 0 16 Mar 2022
Offline Reinforcement Learning with Realizability and Single-policy ConcentrabilityAnnual Conference Computational Learning Theory (COLT), 2022 Wenhao Zhan Baihe Huang Audrey Huang Nan Jiang Jason D. Lee OffRL 595 119 0 09 Feb 2022
Reproducibility in Optimization: Theoretical Framework and LimitsNeural Information Processing Systems (NeurIPS), 2022 Kwangjun Ahn Prateek Jain Ziwei Ji Satyen Kale Praneeth Netrapalli G. Shamir 217 25 0 09 Feb 2022
Multi-agent Performative Prediction: From Global Stability and Optimality to ChaosACM Conference on Economics and Computation (EC), 2022 Georgios Piliouras Fang-Yi Yu 191 38 0 25 Jan 2022
Multiplayer Performative Prediction: Learning in Decision-Dependent GamesJournal of machine learning research (JMLR), 2022 Adhyyan Narang Evan Faulkner Dmitriy Drusvyatskiy Maryam Fazel Lillian J. Ratliff 254 57 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 Sai Li 245 33 0 27 Dec 2021
On Blame Attribution for Accountable Multi-Agent Sequential Decision MakingNeural Information Processing Systems (NeurIPS), 2021 Stelios Triantafyllou Adish Singla Goran Radanović 182 13 0 26 Jul 2021
Outside the Echo Chamber: Optimizing the Performative RiskInternational Conference on Machine Learning (ICML), 2021 John Miller Juan C. Perdomo Tijana Zrnic 253 118 0 17 Feb 2021
How to Learn when Data Reacts to Your Model: Performative Gradient DescentInternational Conference on Machine Learning (ICML), 2021 Zachary Izzo Lexing Ying James Zou 287 87 0 15 Feb 2021
Performative Prediction in a Stateful World Gavin Brown Shlomi Hod Iden Kalemaj 361 97 0 08 Nov 2020
Outlier Robust Mean Estimation with Subgaussian Rates via StabilityNeural Information Processing Systems (NeurIPS), 2020 Ilias Diakonikolas D. Kane Ankit Pensia 259 66 0 30 Jul 2020
Dynamic Regret of Convex and Smooth Functions Peng Zhao Yu Zhang Lijun Zhang Zhi Zhou 210 119 0 07 Jul 2020
Stochastic Optimization for Performative PredictionNeural Information Processing Systems (NeurIPS), 2020 Celestine Mendler-Dünner Juan C. Perdomo Tijana Zrnic Moritz Hardt 251 132 0 12 Jun 2020
Gradient-Free Methods for Saddle-Point Problem Aleksandr Beznosikov Abdurakhmon Sadiev Alexander Gasnikov 249 25 0 12 May 2020
Performative PredictionInternational Conference on Machine Learning (ICML), 2020 Juan C. Perdomo Tijana Zrnic Celestine Mendler-Dünner Moritz Hardt 457 376 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 344 356 0 24 Jan 2019
Robust Estimation via Robust Gradient Estimation Adarsh Prasad A. Suggala Sivaraman Balakrishnan Pradeep Ravikumar 276 225 0 19 Feb 2018
Logarithmic Regret for Online Gradient Descent Beyond Strong Convexity Dan Garber 130 6 0 13 Feb 2018
Accelerating Optimization via Adaptive Prediction M. Mohri Scott Yang AI4CE 237 8 0 18 Sep 2015
Regret Bound by Variation for Online Convex Optimization Tianbao Yang M. Mahdavi Rong Jin Shenghuo Zhu 237 3 0 28 Nov 2011
Solving variational inequalities with Stochastic Mirror-Prox algorithm A. Juditsky A. Nemirovskii Claire Tauvel 396 462 0 04 Sep 2008