Actor-Critic Provably Finds Nash Equilibria of Linear-Quadratic Mean-Field Games

16 October 2019

Zuyue Fu

Papers citing "Actor-Critic Provably Finds Nash Equilibria of Linear-Quadratic Mean-Field Games"

32 / 32 papers shown

Title
Networked Communication for Decentralised Agents in Mean-Field Games Patrick Benjamin Alessandro Abate FedML 123 2 0 05 Jun 2023
Global Convergence of Policy Gradient for Linear-Quadratic Mean-Field Control/Game in Continuous Time Weichen Wang Jiequn Han Zhuoran Yang Zhaoran Wang 80 29 0 16 Aug 2020
Finite-Sample Analysis of Proximal Gradient TD Algorithms Bo Liu Ji Liu Mohammad Ghavamzadeh Sridhar Mahadevan Marek Petrik 62 158 0 06 Jun 2020
Approximate Equilibrium Computation for Discrete-Time Linear-Quadratic Mean-Field Games Muhammad Aneeq uz Zaman Kai Zhang Erik Miehling Tamer Basar 61 16 0 30 Mar 2020
On the Global Convergence of Actor-Critic: A Case for Linear Quadratic Regulator with Ergodic Cost Zhuoran Yang Yongxin Chen Mingyi Hong Zhaoran Wang 100 40 0 14 Jul 2019
Deep Q-Learning for Nash Equilibria: Nash-DQN P. Casgrain Brian Ning S. Jaimungal 60 35 0 23 Apr 2019
Derivative-Free Methods for Policy Optimization: Guarantees for Linear Quadratic Systems Dhruv Malik A. Pananjady Kush S. Bhatia K. Khamaru Peter L. Bartlett Martin J. Wainwright 51 199 0 20 Dec 2018
The Gap Between Model-Based and Model-Free Methods on the Linear Quadratic Regulator: An Asymptotic Viewpoint Stephen Tu Benjamin Recht OffRL 73 151 0 09 Dec 2018
Finite-Sample Analysis For Decentralized Batch Multi-Agent Reinforcement Learning With Networked Agents Kai Zhang Zhuoran Yang Han Liu Tong Zhang Tamer Basar OffRL 65 26 0 06 Dec 2018
Finite Sample Analysis of the GTD Policy Evaluation Algorithms in Markov Setting Yue Wang Wei-neng Chen Yuting Liu Zhi-Ming Ma Tie-Yan Liu OffRL 45 39 0 21 Sep 2018
A Finite Time Analysis of Temporal Difference Learning With Linear Function Approximation Jalaj Bhandari Daniel Russo Raghav Singal 106 340 0 06 Jun 2018
Multi-Agent Reinforcement Learning via Double Averaging Primal-Dual Optimization Hoi-To Wai Zhuoran Yang Zhaoran Wang Mingyi Hong 75 170 0 03 Jun 2018
Regret Bounds for Robust Adaptive Control of the Linear Quadratic Regulator Sarah Dean Horia Mania Nikolai Matni Benjamin Recht Stephen Tu 53 285 0 23 May 2018
Inequity aversion improves cooperation in intertemporal social dilemmas Edward Hughes Joel Z Leibo Matthew Phillips K. Tuyls Edgar A. Duénez-Guzmán ... Tina Zhu Kevin R. McKee Raphael Köster H. Roff T. Graepel 62 209 0 23 Mar 2018
Decentralised Learning in Systems with Many, Many Strategic Agents D. Mguni Joel Jennings Enrique Munoz de Cote 59 64 0 13 Mar 2018
Convergent Actor-Critic Algorithms Under Off-Policy Training and Function Approximation H. Maei OffRL 58 32 0 21 Feb 2018
Mean Field Multi-Agent Reinforcement Learning Yaodong Yang Rui Luo Minne Li M. Zhou Weinan Zhang Jun Wang AI4CE 69 575 0 15 Feb 2018
Global Convergence of Policy Gradient Methods for the Linear Quadratic Regulator Maryam Fazel Rong Ge Sham Kakade M. Mesbahi 88 610 0 15 Jan 2018
On Convergence of some Gradient-based Temporal-Differences Algorithms for Off-Policy Learning Huizhen Yu OffRL 95 32 0 27 Dec 2017
Least-Squares Temporal Difference Learning for the Linear Quadratic Regulator Stephen Tu Benjamin Recht OffRL 67 131 0 22 Dec 2017
Online Reinforcement Learning in Stochastic Games Chen-Yu Wei Yi-Te Hong Chi-Jen Lu OffRL 67 120 0 02 Dec 2017
Learning Deep Mean Field Games for Modeling Large Population Behavior Jiachen Yang X. Ye Rakshit S. Trivedi Huan Xu H. Zha AI4CE 74 33 0 08 Nov 2017
On the Sample Complexity of the Linear Quadratic Regulator Sarah Dean Horia Mania Nikolai Matni Benjamin Recht Stephen Tu 73 579 0 04 Oct 2017
Stochastic Variance Reduction Methods for Policy Evaluation S. Du Jianshu Chen Lihong Li Lin Xiao Dengyong Zhou OffRL 55 158 0 25 Feb 2017
Multi-agent Reinforcement Learning in Sequential Social Dilemmas Joel Z Leibo V. Zambaldi Marc Lanctot J. Marecki T. Graepel 78 612 0 10 Feb 2017
DeepStack: Expert-Level Artificial Intelligence in No-Limit Poker Matej Moravcík Martin Schmid Neil Burch Viliam Lisý Dustin Morrill Nolan Bard Trevor Davis Kevin Waugh Michael Bradley Johanson Michael Bowling BDL 211 913 0 06 Jan 2017
Learning to Perform Physics Experiments via Deep Reinforcement Learning Misha Denil Pulkit Agrawal Tejas D. Kulkarni Tom Erez Peter W. Battaglia Nando de Freitas AI4CE 95 333 0 06 Nov 2016
Safe, Multi-Agent, Reinforcement Learning for Autonomous Driving Shai Shalev-Shwartz Shaked Shammah Amnon Shashua 111 840 0 11 Oct 2016
Gradient Descent Learns Linear Dynamical Systems Moritz Hardt Tengyu Ma Benjamin Recht 110 240 0 16 Sep 2016
Deep Reinforcement Learning from Self-Play in Imperfect-Information Games Johannes Heinrich David Silver SSL 66 399 0 03 Mar 2016
On TD(0) with function approximation: Concentration bounds and a centered variant with exponential convergence N. Korda Prashanth La 67 45 0 12 Nov 2014
Value Function Approximation in Zero-Sum Markov Games M. Lagoudakis Ronald E. Parr OffRL 68 77 0 12 Dec 2012