A General Framework for Learning Mean-Field Games

13 March 2020

Papers citing "A General Framework for Learning Mean-Field Games"

50 / 51 papers shown

Title
Networked Communication for Mean-Field Games with Function Approximation and Empirical Mean-Field Estimation Patrick Benjamin Alessandro Abate 97 1 0 21 Aug 2024
Networked Communication for Decentralised Agents in Mean-Field Games Patrick Benjamin Alessandro Abate FedML 87 2 0 05 Jun 2023
Efficient Model-Based Multi-Agent Mean-Field Reinforcement Learning Barna Pásztor Ilija Bogunovic Andreas Krause 47 41 0 08 Jul 2021
Exploration noise for learning linear-quadratic mean field games François Delarue A. Vasileiadis MLT 44 11 0 02 Jul 2021
Reinforcement Learning for Mean Field Games, with Applications to Economics Andrea Angiuli J. Fouque Mathieu Lauriere 52 27 0 25 Jun 2021
Concave Utility Reinforcement Learning: the Mean-Field Game Viewpoint Matthieu Geist Julien Pérolat Mathieu Laurière Romuald Elie Sarah Perrin Olivier Bachem Rémi Munos Olivier Pietquin 69 64 0 07 Jun 2021
Mean Field Games Flock! The Reinforcement Learning Way Sarah Perrin Mathieu Laurière Julien Pérolat Matthieu Geist Romuald Élie Olivier Pietquin AI4CE 48 46 0 17 May 2021
Discrete-Time Mean Field Control with Environment States Kai Cui Anam Tahir Mark Sinzger Heinz Koeppl AI4CE 34 13 0 30 Apr 2021
Scaling up Mean Field Games with Online Mirror Descent Julien Perolat Sarah Perrin Romuald Elie Mathieu Laurière Georgios Piliouras Matthieu Geist K. Tuyls Olivier Pietquin LRM AI4CE 81 46 0 28 Feb 2021
Approximately Solving Mean Field Games via Entropy-Regularized Deep Reinforcement Learning Kai Cui Heinz Koeppl 89 94 0 02 Feb 2021
Partially Observable Mean Field Reinforcement Learning Sriram Ganapathi Subramanian Matthew E. Taylor Mark Crowley Pascal Poupart OOD 61 27 0 31 Dec 2020
Model Free Reinforcement Learning Algorithm for Stationary Mean field Equilibrium for Multiple Types of Agents A. Ghosh Vaneet Aggarwal 53 7 0 31 Dec 2020
Thompson sampling for linear quadratic mean-field teams Mukul Gagrani Sagar Sudhakara Aditya Mahajan A. Nayyar Ouyang Yi 43 4 0 09 Nov 2020
Provable Fictitious Play for General Mean-Field Games Qiaomin Xie Zhuoran Yang Zhaoran Wang Andreea Minca 49 18 0 08 Oct 2020
Entropy Regularization for Mean Field Games with Learning Xin Guo Renyuan Xu T. Zariphopoulou OOD 68 74 0 30 Sep 2020
Reinforcement Learning in Non-Stationary Discrete-Time Linear-Quadratic Mean-Field Games Muhammad Aneeq uz Zaman Kai Zhang Erik Miehling Tamer Basar OffRL 23 26 0 09 Sep 2020
Global Convergence of Policy Gradient for Linear-Quadratic Mean-Field Control/Game in Continuous Time Weichen Wang Jiequn Han Zhuoran Yang Zhaoran Wang 54 29 0 16 Aug 2020
Fictitious Play for Mean Field Games: Continuous Time Analysis and Applications Sarah Perrin Julien Perolat Mathieu Laurière Matthieu Geist Romuald Elie Olivier Pietquin 52 121 0 05 Jul 2020
The Evolutionary Dynamics of Independent Learning Agents in Population Games Shuyue Hu Chin-wing Leung Ho-fung Leung Harold Soh AI4CE 39 3 0 29 Jun 2020
Unified Reinforcement Q-Learning for Mean Field Game and Control Problems Andrea Angiuli J. Fouque Mathieu Laurière 58 72 0 24 Jun 2020
Breaking the Curse of Many Agents: Provable Mean Embedding Q-Iteration for Mean-Field Reinforcement Learning Lingxiao Wang Zhuoran Yang Zhaoran Wang 48 27 0 21 Jun 2020
On the Global Convergence Rates of Softmax Policy Gradient Methods Jincheng Mei Chenjun Xiao Csaba Szepesvári Dale Schuurmans 113 291 0 13 May 2020
Approximate Equilibrium Computation for Discrete-Time Linear-Quadratic Mean-Field Games Muhammad Aneeq uz Zaman Kai Zhang Erik Miehling Tamer Basar 47 16 0 30 Mar 2020
Q-Learning in Regularized Mean-field Games Berkay Anahtarci Can Deha Kariksiz Naci Saldi OOD 59 76 0 24 Mar 2020
Distributional Robustness and Regularization in Reinforcement Learning E. Derman Shie Mannor 48 44 0 05 Mar 2020
Mean-Field Controls with Q-learning for Cooperative MARL: Convergence and Complexity Analysis Haotian Gu Xin Guo Xiaoli Wei Renyuan Xu 54 65 0 10 Feb 2020
Multi Type Mean Field Reinforcement Learning Sriram Ganapathi Subramanian Pascal Poupart Matthew E. Taylor N. Hegde AI4CE 37 56 0 06 Feb 2020
Natural Actor-Critic Converges Globally for Hierarchical Linear Quadratic Regulator Yuwei Luo Zhuoran Yang Zhaoran Wang Mladen Kolar 40 9 0 14 Dec 2019
Model-Free Mean-Field Reinforcement Learning: Mean-Field MDP and Mean-Field Q-Learning René Carmona Mathieu Laurière Zongjun Tan OffRL 51 98 0 28 Oct 2019
Actor-Critic Provably Finds Nash Equilibria of Linear-Quadratic Mean-Field Games Zuyue Fu Zhuoran Yang Yongxin Chen Zhaoran Wang 86 54 0 16 Oct 2019
Linear-Quadratic Mean-Field Reinforcement Learning: Convergence of Policy Gradient Methods René Carmona Mathieu Laurière Zongjun Tan 63 63 0 09 Oct 2019
Adaptive Trust Region Policy Optimization: Global Convergence and Faster Rates for Regularized MDPs Lior Shani Yonathan Efroni Shie Mannor 47 175 0 06 Sep 2019
Neural Policy Gradient Methods: Global Optimality and Rates of Convergence Lingxiao Wang Qi Cai Zhuoran Yang Zhaoran Wang 66 241 0 29 Aug 2019
On the Convergence of Model Free Learning in Mean Field Games Romuald Elie Julien Pérolat Mathieu Laurière Matthieu Geist Olivier Pietquin 52 91 0 04 Jul 2019
A Theory of Regularized Markov Decision Processes Matthieu Geist B. Scherrer Olivier Pietquin 107 325 0 31 Jan 2019
A Survey and Critique of Multiagent Deep Reinforcement Learning Pablo Hernandez-Leal Bilal Kartal Matthew E. Taylor OffRL 86 559 0 12 Oct 2018
Multi-Agent Reinforcement Learning: A Report on Challenges and Approaches Sanyam Kapoor 34 31 0 25 Jul 2018
Multi-Agent Reinforcement Learning via Double Averaging Primal-Dual Optimization Hoi-To Wai Zhuoran Yang Zhaoran Wang Mingyi Hong 48 169 0 03 Jun 2018
Decentralised Learning in Systems with Many, Many Strategic Agents D. Mguni Joel Jennings Enrique Munoz de Cote 40 63 0 13 Mar 2018
Computational Optimal Transport Gabriel Peyré Marco Cuturi OT 178 2,144 0 01 Mar 2018
Real-Time Bidding with Multi-Agent Reinforcement Learning in Display Advertising Junqi Jin Cheng-Ning Song Han Li Kun Gai Jun Wang Weinan Zhang 48 180 0 27 Feb 2018
Mean Field Multi-Agent Reinforcement Learning Yaodong Yang Rui Luo Minne Li M. Zhou Weinan Zhang Jun Wang AI4CE 58 572 0 15 Feb 2018
Learning Deep Mean Field Games for Modeling Large Population Behavior Jiachen Yang X. Ye Rakshit S. Trivedi Huan Xu H. Zha AI4CE 66 33 0 08 Nov 2017
A unified view of entropy-regularized Markov decision processes Gergely Neu Anders Jonsson Vicencc Gómez 93 262 0 22 May 2017
On the Properties of the Softmax Function with Application in Game Theory and Reinforcement Learning Bolin Gao Lacra Pavel FAtt 48 307 0 03 Apr 2017
Reinforcement Learning with Deep Energy-Based Policies Tuomas Haarnoja Haoran Tang Pieter Abbeel Sergey Levine 81 1,337 0 27 Feb 2017
Real-Time Bidding by Reinforcement Learning in Display Advertising Han Cai Kan Ren Weinan Zhang Kleanthis Malialis Jun Wang Yong Yu Defeng Guo 52 246 0 10 Jan 2017
Asynchronous Methods for Deep Reinforcement Learning Volodymyr Mnih Adria Puigdomenech Badia M. Berk Mirza Alex Graves Timothy Lillicrap Tim Harley David Silver Koray Kavukcuoglu 173 8,832 0 04 Feb 2016
Increasing the Action Gap: New Operators for Reinforcement Learning Marc G. Bellemare Georg Ostrovski A. Guez Philip S. Thomas Rémi Munos 54 157 0 15 Dec 2015
Trust Region Policy Optimization John Schulman Sergey Levine Philipp Moritz Michael I. Jordan Pieter Abbeel 257 6,749 0 19 Feb 2015