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2201.07052
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Differentially Private Reinforcement Learning with Linear Function Approximation
Proceedings of the ACM on Measurement and Analysis of Computing Systems (POMACS), 2022
18 January 2022
Xingyu Zhou
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Papers citing
"Differentially Private Reinforcement Learning with Linear Function Approximation"
18 / 18 papers shown
On the Sample Complexity of Differentially Private Policy Optimization
Yi He
Xingyu Zhou
152
0
0
24 Oct 2025
Square
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PO: Differentially Private and Robust
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2
χ^2
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2
-Preference Optimization in Offline Direct Alignment
Xingyu Zhou
Yulian Wu
Wenqian Weng
Francesco Orabona
435
0
0
27 May 2025
Preserving Expert-Level Privacy in Offline Reinforcement Learning
Navodita Sharma
Vishnu Vinod
Abhradeep Thakurta
Alekh Agarwal
Borja Balle
Christoph Dann
A. Raghuveer
OffRL
340
0
0
18 Nov 2024
Preserving the Privacy of Reward Functions in MDPs through Deception
Shashank Reddy Chirra
Pradeep Varakantham
P. Paruchuri
211
2
0
13 Jul 2024
Privacy Preserving Reinforcement Learning for Population Processes
Samuel Yang-Zhao
Kee Siong Ng
247
1
0
25 Jun 2024
Differentially Private Reinforcement Learning with Self-Play
Dan Qiao
Yu Wang
285
0
0
11 Apr 2024
Privacy-Engineered Value Decomposition Networks for Cooperative Multi-Agent Reinforcement Learning
IEEE Conference on Decision and Control (CDC), 2023
Parham Gohari
Matthew T. Hale
Ufuk Topcu
OffRL
287
3
0
13 Sep 2023
DPMAC: Differentially Private Communication for Cooperative Multi-Agent Reinforcement Learning
International Joint Conference on Artificial Intelligence (IJCAI), 2023
Canzhe Zhao
Yanjie Ze
Jing Dong
Baoxiang Wang
Shuai Li
280
4
0
19 Aug 2023
Differentially Private Episodic Reinforcement Learning with Heavy-tailed Rewards
International Conference on Machine Learning (ICML), 2023
Yulian Wu
Xingyu Zhou
Sayak Ray Chowdhury
Haiyan Zhao
416
4
0
01 Jun 2023
Multi-Agent Reinforcement Learning: Methods, Applications, Visionary Prospects, and Challenges
IEEE Transactions on Intelligent Vehicles (TIV), 2023
Ziyuan Zhou
Guanjun Liu
Ying-Si Tang
327
38
0
17 May 2023
On Differentially Private Federated Linear Contextual Bandits
International Conference on Learning Representations (ICLR), 2023
Xingyu Zhou
Sayak Ray Chowdhury
FedML
465
16
0
27 Feb 2023
Near-Optimal Differentially Private Reinforcement Learning
International Conference on Artificial Intelligence and Statistics (AISTATS), 2022
Dan Qiao
Yu Wang
364
17
0
09 Dec 2022
Distributed Differential Privacy in Multi-Armed Bandits
International Conference on Learning Representations (ICLR), 2022
Sayak Ray Chowdhury
Xingyu Zhou
400
14
0
12 Jun 2022
Offline Reinforcement Learning with Differential Privacy
Neural Information Processing Systems (NeurIPS), 2022
Dan Qiao
Yu Wang
OffRL
430
29
0
02 Jun 2022
Shuffle Private Linear Contextual Bandits
International Conference on Machine Learning (ICML), 2022
Sayak Ray Chowdhury
Xingyu Zhou
FedML
359
29
0
11 Feb 2022
Improved Regret for Differentially Private Exploration in Linear MDP
International Conference on Machine Learning (ICML), 2022
Dung Daniel Ngo
G. Vietri
Zhiwei Steven Wu
300
8
0
02 Feb 2022
Differentially Private Temporal Difference Learning with Stochastic Nonconvex-Strongly-Concave Optimization
Web Search and Data Mining (WSDM), 2022
Canzhe Zhao
Yanjie Ze
Jing Dong
Baoxiang Wang
Shuai Li
276
7
0
25 Jan 2022
Locally Differentially Private Reinforcement Learning for Linear Mixture Markov Decision Processes
Chonghua Liao
Jiafan He
Quanquan Gu
242
19
0
19 Oct 2021
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