Multi-Agent Reinforcement Learning via Double Averaging Primal-Dual Optimization

3 June 2018

Papers citing "Multi-Agent Reinforcement Learning via Double Averaging Primal-Dual Optimization"

32 / 32 papers shown

Title
Second-Order Min-Max Optimization with Lazy Hessians Lesi Chen Chengchang Liu Jingzhao Zhang 46 1 0 12 Oct 2024
Stability and Generalization of the Decentralized Stochastic Gradient Descent Ascent Algorithm Miaoxi Zhu Li Shen Bo Du Dacheng Tao 23 6 0 31 Oct 2023
A primal-dual perspective for distributed TD-learning Han-Dong Lim Donghwan Lee 17 1 0 01 Oct 2023
Networked Communication for Decentralised Agents in Mean-Field Games Patrick Benjamin Alessandro Abate FedML 40 2 0 05 Jun 2023
PRECISION: Decentralized Constrained Min-Max Learning with Low Communication and Sample Complexities Zhuqing Liu Xin Zhang Songtao Lu Jia-Wei Liu 34 7 0 05 Mar 2023
An Efficient Stochastic Algorithm for Decentralized Nonconvex-Strongly-Concave Minimax Optimization Le‐Yu Chen Haishan Ye Luo Luo 65 5 0 05 Dec 2022
Can Mean Field Control (MFC) Approximate Cooperative Multi Agent Reinforcement Learning (MARL) with Non-Uniform Interaction? Washim Uddin Mondal Vaneet Aggarwal S. Ukkusuri 20 9 0 28 Feb 2022
Accelerated and instance-optimal policy evaluation with linear function approximation Tianjiao Li Guanghui Lan A. Pananjady OffRL 37 13 0 24 Dec 2021
MAMRL: Exploiting Multi-agent Meta Reinforcement Learning in WAN Traffic Engineering Shan Sun M. Kiran Wei Ren 24 2 0 30 Nov 2021
Distributed Policy Gradient with Variance Reduction in Multi-Agent Reinforcement Learning Xiaoxiao Zhao Jinlong Lei Li Li Jie-bin Chen OffRL 18 2 0 25 Nov 2021
Convergence Rates of Average-Reward Multi-agent Reinforcement Learning via Randomized Linear Programming Alec Koppel Amrit Singh Bedi Bhargav Ganguly Vaneet Aggarwal 26 4 0 22 Oct 2021
New Versions of Gradient Temporal Difference Learning Dong-hwan Lee Han-Dong Lim Jihoon Park Okyong Choi 26 5 0 09 Sep 2021
Sample and Communication-Efficient Decentralized Actor-Critic Algorithms with Finite-Time Analysis Ziyi Chen Yi Zhou Rongrong Chen Shaofeng Zou 15 24 0 08 Sep 2021
A Decentralized Adaptive Momentum Method for Solving a Class of Min-Max Optimization Problems Babak Barazandeh Tianjian Huang George Michailidis 24 12 0 10 Jun 2021
Gradient play in stochastic games: stationary points, convergence, and sample complexity Runyu Zhang Zhaolin Ren Na Li 26 43 0 01 Jun 2021
A Survey of Distributed Optimization Methods for Multi-Robot Systems Trevor Halsted O. Shorinwa Javier Yu Mac Schwager 25 39 0 23 Mar 2021
Decentralized Distributed Optimization for Saddle Point Problems Alexander Rogozin Alexander Beznosikov D. Dvinskikh D. Kovalev Pavel Dvurechensky Alexander Gasnikov 28 27 0 15 Feb 2021
Competing AI: How does competition feedback affect machine learning? Antonio A. Ginart Eva Zhang Yongchan Kwon James Zou AAML 13 0 0 15 Sep 2020
Scalable Multi-Agent Reinforcement Learning for Networked Systems with Average Reward Guannan Qu Yiheng Lin Adam Wierman Na Li 23 69 0 11 Jun 2020
F2A2: Flexible Fully-decentralized Approximate Actor-critic for Cooperative Multi-agent Reinforcement Learning Wenhao Li Bo Jin Xiangfeng Wang Junchi Yan H. Zha 25 21 0 17 Apr 2020
Scalable Reinforcement Learning for Multi-Agent Networked Systems Guannan Qu Adam Wierman Na Li 16 32 0 05 Dec 2019
Multi-Agent Reinforcement Learning: A Selective Overview of Theories and Algorithms Kaipeng Zhang Zhuoran Yang Tamer Basar 55 1,180 0 24 Nov 2019
A Decentralized Proximal Point-type Method for Saddle Point Problems Weijie Liu Aryan Mokhtari Asuman Ozdaglar S. Pattathil Zebang Shen Nenggan Zheng 61 30 0 31 Oct 2019
Convergent Policy Optimization for Safe Reinforcement Learning Ming Yu Zhuoran Yang Mladen Kolar Zhaoran Wang 16 91 0 26 Oct 2019
Actor-Critic Provably Finds Nash Equilibria of Linear-Quadratic Mean-Field Games Zuyue Fu Zhuoran Yang Yongxin Chen Zhaoran Wang 9 54 0 16 Oct 2019
A Review of Cooperative Multi-Agent Deep Reinforcement Learning Afshin Oroojlooyjadid Davood Hajinezhad 48 412 0 11 Aug 2019
Finite-Time Performance of Distributed Temporal Difference Learning with Linear Function Approximation Thinh T. Doan S. T. Maguluri J. Romberg 30 41 0 25 Jul 2019
A Deep Recurrent Q Network towards Self-adapting Distributed Microservices architecture Basel Magableh 24 15 0 13 Jan 2019
Communication-Efficient Policy Gradient Methods for Distributed Reinforcement Learning Tianyi Chen Kaipeng Zhang G. Giannakis Tamer Basar OffRL 24 41 0 07 Dec 2018
Multi-Agent Fully Decentralized Value Function Learning with Linear Convergence Rates Lucas Cassano Kun Yuan Ali H. Sayed 14 39 0 17 Oct 2018
A Distributed Stochastic Gradient Tracking Method Shi Pu A. Nedić 27 60 0 21 Mar 2018
Stabilising Experience Replay for Deep Multi-Agent Reinforcement Learning Jakob N. Foerster Nantas Nardelli Gregory Farquhar Triantafyllos Afouras Philip H. S. Torr Pushmeet Kohli Shimon Whiteson OffRL 117 595 0 28 Feb 2017