Privacy-preserving Q-Learning with Functional Noise in Continuous State
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Privacy-preserving Q-Learning with Functional Noise in Continuous State Spaces

30 January 2019

Baoxiang Wang

Papers citing "Privacy-preserving Q-Learning with Functional Noise in Continuous State Spaces"

18 / 18 papers shown

Title
Improved Algorithms for Differentially Private Language Model Alignment Keyu Chen Hao Tang Qinglin Liu Yizhao Xu 33 0 0 13 May 2025
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
Privately Aligning Language Models with Reinforcement Learning Fan Wu Huseyin A. Inan A. Backurs Varun Chandrasekaran Janardhan Kulkarni Robert Sim 35 6 0 25 Oct 2023
BRNES: Enabling Security and Privacy-aware Experience Sharing in Multiagent Robotic and Autonomous Systems Md Tamjid Hossain Hung M. La S. Badsha Anton Netchaev 44 2 0 02 Aug 2023
Hiding in Plain Sight: Differential Privacy Noise Exploitation for Evasion-resilient Localized Poisoning Attacks in Multiagent Reinforcement Learning Md Tamjid Hossain Hung M. La AAML 26 0 0 01 Jul 2023
adaPARL: Adaptive Privacy-Aware Reinforcement Learning for Sequential-Decision Making Human-in-the-Loop Systems Mojtaba Taherisadr S. Stavroulakis Salma Elmalaki 29 15 0 07 Mar 2023
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
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
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
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
Reinforcement Learning on Encrypted Data Alberto Jesu Victor-Alexandru Darvariu Alessandro Staffolani R. Montanari Mirco Musolesi OffRL 21 1 0 16 Sep 2021
Single and Multi-Agent Deep Reinforcement Learning for AI-Enabled Wireless Networks: A Tutorial Amal Feriani Ekram Hossain 35 237 0 06 Nov 2020
Private Reinforcement Learning with PAC and Regret Guarantees G. Vietri Borja Balle A. Krishnamurthy Zhiwei Steven Wu 26 59 0 18 Sep 2020
More Than Privacy: Applying Differential Privacy in Key Areas of Artificial Intelligence Tianqing Zhu Dayong Ye Wei Wang Wanlei Zhou Philip S. Yu SyDa 38 125 0 05 Aug 2020
Privacy-Preserving Policy Synthesis in Markov Decision Processes Parham Gohari Matthew T. Hale Ufuk Topcu 39 17 0 16 Apr 2020