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2505.05609
Cited By
On Corruption-Robustness in Performative Reinforcement Learning
AAAI Conference on Artificial Intelligence (AAAI), 2025
8 May 2025
Vasilis Pollatos
Debmalya Mandal
Goran Radanović
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Papers citing
"On Corruption-Robustness in Performative Reinforcement Learning"
27 / 27 papers shown
Achieve Performatively Optimal Policy for Performative Reinforcement Learning
Ziyi Chen
Heng Huang
105
0
0
06 Oct 2025
Independent Learning in Performative Markov Potential Games
International Conference on Artificial Intelligence and Statistics (AISTATS), 2025
Rilind Sahitaj
Paulius Sasnauskas
Yiğit Yalın
Debmalya Mandal
Goran Radanović
291
2
0
29 Apr 2025
Corruption-Robust Offline Two-Player Zero-Sum Markov Games
Andi Nika
Debmalya Mandal
Adish Singla
Goran Radanović
OffRL
194
2
0
04 Mar 2024
Performative Reinforcement Learning in Gradually Shifting Environments
Ben Rank
Stelios Triantafyllou
Debmalya Mandal
Goran Radanović
OffRL
330
9
0
15 Feb 2024
Corruption-Robust Offline Reinforcement Learning with General Function Approximation
Neural Information Processing Systems (NeurIPS), 2023
Chen Ye
Rui Yang
Quanquan Gu
Tong Zhang
OffRL
392
29
0
23 Oct 2023
Zero-Regret Performative Prediction Under Inequality Constraints
Neural Information Processing Systems (NeurIPS), 2023
Wenjing Yan
Xuanyu Cao
207
11
0
22 Sep 2023
COPA: Certifying Robust Policies for Offline Reinforcement Learning against Poisoning Attacks
International Conference on Learning Representations (ICLR), 2022
Fan Wu
Linyi Li
Chejian Xu
Huan Zhang
B. Kailkhura
K. Kenthapadi
Ding Zhao
Yue Liu
AAML
OffRL
186
39
0
16 Mar 2022
Offline Reinforcement Learning with Realizability and Single-policy Concentrability
Annual Conference Computational Learning Theory (COLT), 2022
Wenhao Zhan
Baihe Huang
Audrey Huang
Nan Jiang
Jason D. Lee
OffRL
615
119
0
09 Feb 2022
Reproducibility in Optimization: Theoretical Framework and Limits
Neural Information Processing Systems (NeurIPS), 2022
Kwangjun Ahn
Prateek Jain
Ziwei Ji
Satyen Kale
Praneeth Netrapalli
G. Shamir
249
25
0
09 Feb 2022
Multi-agent Performative Prediction: From Global Stability and Optimality to Chaos
ACM Conference on Economics and Computation (EC), 2022
Georgios Piliouras
Fang-Yi Yu
219
40
0
25 Jan 2022
Multiplayer Performative Prediction: Learning in Decision-Dependent Games
Journal of machine learning research (JMLR), 2022
Adhyyan Narang
Evan Faulkner
Dmitriy Drusvyatskiy
Maryam Fazel
Lillian J. Ratliff
282
58
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
289
33
0
27 Dec 2021
On Blame Attribution for Accountable Multi-Agent Sequential Decision Making
Neural Information Processing Systems (NeurIPS), 2021
Stelios Triantafyllou
Adish Singla
Goran Radanović
210
13
0
26 Jul 2021
Outside the Echo Chamber: Optimizing the Performative Risk
International Conference on Machine Learning (ICML), 2021
John Miller
Juan C. Perdomo
Tijana Zrnic
289
119
0
17 Feb 2021
How to Learn when Data Reacts to Your Model: Performative Gradient Descent
International Conference on Machine Learning (ICML), 2021
Zachary Izzo
Lexing Ying
James Zou
307
88
0
15 Feb 2021
Performative Prediction in a Stateful World
Gavin Brown
Shlomi Hod
Iden Kalemaj
401
100
0
08 Nov 2020
Outlier Robust Mean Estimation with Subgaussian Rates via Stability
Neural Information Processing Systems (NeurIPS), 2020
Ilias Diakonikolas
D. Kane
Ankit Pensia
287
66
0
30 Jul 2020
Dynamic Regret of Convex and Smooth Functions
Peng Zhao
Yu Zhang
Lijun Zhang
Zhi Zhou
234
120
0
07 Jul 2020
Stochastic Optimization for Performative Prediction
Neural Information Processing Systems (NeurIPS), 2020
Celestine Mendler-Dünner
Juan C. Perdomo
Tijana Zrnic
Moritz Hardt
311
133
0
12 Jun 2020
Gradient-Free Methods for Saddle-Point Problem
Aleksandr Beznosikov
Abdurakhmon Sadiev
Alexander Gasnikov
277
25
0
12 May 2020
Performative Prediction
International Conference on Machine Learning (ICML), 2020
Juan C. Perdomo
Tijana Zrnic
Celestine Mendler-Dünner
Moritz Hardt
485
383
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
384
358
0
24 Jan 2019
Robust Estimation via Robust Gradient Estimation
Adarsh Prasad
A. Suggala
Sivaraman Balakrishnan
Pradeep Ravikumar
336
226
0
19 Feb 2018
Logarithmic Regret for Online Gradient Descent Beyond Strong Convexity
Dan Garber
142
6
0
13 Feb 2018
Accelerating Optimization via Adaptive Prediction
M. Mohri
Scott Yang
AI4CE
273
8
0
18 Sep 2015
Regret Bound by Variation for Online Convex Optimization
Tianbao Yang
M. Mahdavi
Rong Jin
Shenghuo Zhu
269
3
0
28 Nov 2011
Solving variational inequalities with Stochastic Mirror-Prox algorithm
A. Juditsky
A. Nemirovskii
Claire Tauvel
490
463
0
04 Sep 2008
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