Near-Optimal Differentially Private Reinforcement Learning

9 December 2022

Papers citing "Near-Optimal Differentially Private Reinforcement Learning"

9 / 9 papers shown

Title
Towards Optimal Differentially Private Regret Bounds in Linear MDPs Sharan Sahu 55 0 0 12 Apr 2025
Near-Optimal Deployment Efficiency in Reward-Free Reinforcement Learning with Linear Function Approximation Dan Qiao Yu-Xiang Wang OffRL 67 13 0 03 Oct 2022
Doubly Fair Dynamic Pricing Jianyu Xu Dan Qiao Yu-Xiang Wang 22 8 0 23 Sep 2022
Offline Reinforcement Learning with Differential Privacy Dan Qiao Yu-Xiang Wang OffRL 36 23 0 02 Jun 2022
Towards Agnostic Feature-based Dynamic Pricing: Linear Policies vs Linear Valuation with Unknown Noise Jianyu Xu Yu-Xiang Wang 63 20 0 27 Jan 2022
Practical and Private (Deep) Learning without Sampling or Shuffling Peter Kairouz Brendan McMahan Shuang Song Om Thakkar Abhradeep Thakurta Zheng Xu FedML 182 154 0 26 Feb 2021
Provably Efficient Reinforcement Learning with Linear Function Approximation Under Adaptivity Constraints Chi Jin Zhuoran Yang Zhaoran Wang OffRL 122 166 0 06 Jan 2021
When is Memorization of Irrelevant Training Data Necessary for High-Accuracy Learning? Gavin Brown Mark Bun Vitaly Feldman Adam D. Smith Kunal Talwar 253 93 0 11 Dec 2020
Mechanism Design in Large Games: Incentives and Privacy Michael Kearns Mallesh M. Pai Aaron Roth Jonathan R. Ullman 84 182 0 17 Jul 2012