Private Reinforcement Learning with PAC and Regret Guarantees

18 September 2020

Papers citing "Private Reinforcement Learning with PAC and Regret Guarantees"

22 / 22 papers shown

Title
Towards Optimal Differentially Private Regret Bounds in Linear MDPs Sharan Sahu 60 0 0 12 Apr 2025
MAD-TD: Model-Augmented Data stabilizes High Update Ratio RL C. Voelcker Marcel Hussing Eric Eaton Amir-massoud Farahmand Igor Gilitschenski 46 1 0 11 Oct 2024
Preserving the Privacy of Reward Functions in MDPs through Deception Shashank Reddy Chirra Pradeep Varakantham P. Paruchuri 43 0 0 13 Jul 2024
Differentially Private Reinforcement Learning with Self-Play Dan Qiao Yu Wang 38 0 0 11 Apr 2024
New Challenges in Reinforcement Learning: A Survey of Security and Privacy Yunjiao Lei Dayong Ye Sheng Shen Yulei Sui Tianqing Zhu Wanlei Zhou 38 18 0 31 Dec 2022
Doubly Fair Dynamic Pricing Jianyu Xu Dan Qiao Yu Wang 31 8 0 23 Sep 2022
Distributed Differential Privacy in Multi-Armed Bandits Sayak Ray Chowdhury Xingyu Zhou 30 12 0 12 Jun 2022
Offline Reinforcement Learning with Differential Privacy Dan Qiao Yu Wang OffRL 41 23 0 02 Jun 2022
Privacy-Preserving Reinforcement Learning Beyond Expectation Arezoo Rajabi Bhaskar Ramasubramanian A. Maruf Radha Poovendran OffRL 14 2 0 18 Mar 2022
Improved Regret for Differentially Private Exploration in Linear MDP Dung Daniel Ngo G. Vietri Zhiwei Steven Wu 27 8 0 02 Feb 2022
Differentially Private Temporal Difference Learning with Stochastic Nonconvex-Strongly-Concave Optimization Canzhe Zhao Yanjie Ze Jing Dong Baoxiang Wang Shuai Li 54 4 0 25 Jan 2022
Differentially Private Regret Minimization in Episodic Markov Decision Processes Sayak Ray Chowdhury Xingyu Zhou 29 21 0 20 Dec 2021
Privacy Amplification via Shuffling for Linear Contextual Bandits Evrard Garcelon Kamalika Chaudhuri Vianney Perchet Matteo Pirotta FedML 37 18 0 11 Dec 2021
How Private Is Your RL Policy? An Inverse RL Based Analysis Framework Kritika Prakash Fiza Husain P. Paruchuri Sujit Gujar OffRL 28 11 0 10 Dec 2021
Differentially Private Exploration in Reinforcement Learning with Linear Representation Paul Luyo Evrard Garcelon A. Lazaric Matteo Pirotta 60 11 0 02 Dec 2021
Locally Differentially Private Reinforcement Learning for Linear Mixture Markov Decision Processes Chonghua Liao Jiafan He Quanquan Gu 27 17 0 19 Oct 2021
Reinforcement Learning on Encrypted Data Alberto Jesu Victor-Alexandru Darvariu Alessandro Staffolani R. Montanari Mirco Musolesi OffRL 21 1 0 16 Sep 2021
Membership Inference Attacks Against Temporally Correlated Data in Deep Reinforcement Learning Maziar Gomrokchi Susan Amin Hossein Aboutalebi Alexander Wong Doina Precup MIACV AAML 44 3 0 08 Sep 2021
Adaptive Control of Differentially Private Linear Quadratic Systems Sayak Ray Chowdhury Xingyu Zhou Ness B. Shroff 38 10 0 26 Aug 2021
Large Scale Private Learning via Low-rank Reparametrization Da Yu Huishuai Zhang Wei Chen Jian Yin Tie-Yan Liu 29 100 0 17 Jun 2021
No-Regret Algorithms for Private Gaussian Process Bandit Optimization Abhimanyu Dubey 22 13 0 24 Feb 2021
Mechanism Design in Large Games: Incentives and Privacy Michael Kearns Mallesh M. Pai Aaron Roth Jonathan R. Ullman 90 182 0 17 Jul 2012