Privacy-Engineered Value Decomposition Networks for Cooperative
Multi-Agent Reinforcement Learning

Privacy-Engineered Value Decomposition Networks for Cooperative Multi-Agent Reinforcement Learning

13 September 2023

Matthew T. Hale

Ufuk Topcu

ArXiv (abs)PDF HTML

Papers citing "Privacy-Engineered Value Decomposition Networks for Cooperative Multi-Agent Reinforcement Learning"

10 / 10 papers shown

Title
How to DP-fy ML: A Practical Guide to Machine Learning with Differential Privacy Natalia Ponomareva Hussein Hazimeh Alexey Kurakin Zheng Xu Carson E. Denison H. B. McMahan Sergei Vassilvitskii Steve Chien Abhradeep Thakurta 152 181 0 01 Mar 2023
Survey of Recent Multi-Agent Reinforcement Learning Algorithms Utilizing Centralized Training P. Sharma Rolando Fernandez Erin G. Zaroukian M. Dorothy Anjon Basak Derrik E. Asher 59 41 0 29 Jul 2021
Private Reinforcement Learning with PAC and Regret Guarantees G. Vietri Borja Balle A. Krishnamurthy Zhiwei Steven Wu 60 63 0 18 Sep 2020
Efficient Privacy-Preserving Computation Based on Additive Secret Sharing Lizhi Xiong Wenhao Zhou Zhihua Xia Qi Gu J. Weng 17 17 0 11 Sep 2020
Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning Tabish Rashid Mikayel Samvelyan Christian Schroeder de Witt Gregory Farquhar Jakob N. Foerster Shimon Whiteson 122 817 0 19 Mar 2020
QTRAN: Learning to Factorize with Transformation for Cooperative Multi-Agent Reinforcement Learning Kyunghwan Son Daewoo Kim Wan Ju Kang D. Hostallero Yung Yi OffRL 71 809 0 14 May 2019
The StarCraft Multi-Agent Challenge Mikayel Samvelyan Tabish Rashid Christian Schroeder de Witt Gregory Farquhar Nantas Nardelli Tim G. J. Rudner Chia-Man Hung Philip Torr Jakob N. Foerster Shimon Whiteson 98 958 0 11 Feb 2019
Privacy-preserving Q-Learning with Functional Noise in Continuous State Spaces Baoxiang Wang N. Hegde 59 65 0 30 Jan 2019
Value Propagation for Decentralized Networked Deep Multi-agent Reinforcement Learning Chao Qu Shie Mannor Huan Xu Yuan Qi Le Song Junwu Xiong 77 44 0 27 Jan 2019
Deep Learning with Differential Privacy Martín Abadi Andy Chu Ian Goodfellow H. B. McMahan Ilya Mironov Kunal Talwar Li Zhang FedML SyDa 220 6,172 0 01 Jul 2016

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