Decentralised Learning in Systems with Many, Many Strategic Agents

13 March 2018

Enrique Munoz de Cote

Papers citing "Decentralised Learning in Systems with Many, Many Strategic Agents"

31 / 31 papers shown

Title
Networked Communication for Decentralised Agents in Mean-Field Games Patrick Benjamin Alessandro Abate FedML 173 2 0 05 Jun 2023
MANSA: Learning Fast and Slow in Multi-Agent Systems D. Mguni Hao Chen Taher Jafferjee Jianhong Wang Long Fei Xidong Feng Stephen Marcus McAleer Feifei Tong Jun Wang Yaodong Yang 58 2 0 12 Feb 2023
A Survey on Large-Population Systems and Scalable Multi-Agent Reinforcement Learning Kai Cui Anam Tahir Gizem Ekinci Ahmed Elshamanhory Yannick Eich Mengguang Li Heinz Koeppl AI4CE 166 15 0 08 Sep 2022
Taming Multi-Agent Reinforcement Learning with Estimator Variance Reduction Taher Jafferjee Juliusz Ziomek Tianpei Yang Zipeng Dai Jianhong Wang Matthew E. Taylor Kun Shao Jun Wang D. Mguni 64 1 0 02 Sep 2022
Individual-Level Inverse Reinforcement Learning for Mean Field Games Yang Chen Libo Zhang Jiamou Liu Shuyue Hu AI4CE 80 9 0 13 Feb 2022
Independent Policy Gradient for Large-Scale Markov Potential Games: Sharper Rates, Function Approximation, and Game-Agnostic Convergence Dongsheng Ding Chen-Yu Wei Kai Zhang M. Jovanović 88 69 0 08 Feb 2022
Decentralized Mean Field Games Sriram Ganapathi Subramanian Matthew E. Taylor Mark Crowley Pascal Poupart OOD OffRL 116 15 0 16 Dec 2021
LIGS: Learnable Intrinsic-Reward Generation Selection for Multi-Agent Learning D. Mguni Taher Jafferjee Jianhong Wang Oliver Slumbers Nicolas Perez Nieves Feifei Tong Yang Li Jiangcheng Zhu Yaodong Yang Jun Wang 114 19 0 05 Dec 2021
Learning Graphon Mean Field Games and Approximate Nash Equilibria Kai Cui Heinz Koeppl AI4CE 154 37 0 29 Nov 2021
Generalization in Mean Field Games by Learning Master Policies Sarah Perrin Mathieu Laurière Julien Pérolat Romuald Élie Matthieu Geist Olivier Pietquin AI4CE 147 37 0 20 Sep 2021
Reinforcement Learning for Mean Field Games, with Applications to Economics Andrea Angiuli J. Fouque Mathieu Lauriere 79 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 106 65 0 07 Jun 2021
Discrete-Time Mean Field Control with Environment States Kai Cui Anam Tahir Mark Sinzger Heinz Koeppl AI4CE 71 13 0 30 Apr 2021
Learning in Nonzero-Sum Stochastic Games with Potentials D. Mguni Yutong Wu Yali Du Yaodong Yang Ziyi Wang Minne Li Ying Wen Joel Jennings Jun Wang 100 46 0 16 Mar 2021
Approximately Solving Mean Field Games via Entropy-Regularized Deep Reinforcement Learning Kai Cui Heinz Koeppl 138 94 0 02 Feb 2021
Partially Observable Mean Field Reinforcement Learning Sriram Ganapathi Subramanian Matthew E. Taylor Mark Crowley Pascal Poupart OOD 106 27 0 31 Dec 2020
Model Free Reinforcement Learning Algorithm for Stationary Mean field Equilibrium for Multiple Types of Agents A. Ghosh Vaneet Aggarwal 105 7 0 31 Dec 2020
Exploratory LQG Mean Field Games with Entropy Regularization Dena Firoozi S. Jaimungal 105 31 0 25 Nov 2020
Fictitious Play for Mean Field Games: Continuous Time Analysis and Applications Sarah Perrin Julien Perolat Mathieu Laurière Matthieu Geist Romuald Elie Olivier Pietquin 91 121 0 05 Jul 2020
Unified Reinforcement Q-Learning for Mean Field Game and Control Problems Andrea Angiuli J. Fouque Mathieu Laurière 140 74 0 24 Jun 2020
Stochastic Potential Games David Mguni 53 7 0 27 May 2020
A General Framework for Learning Mean-Field Games Xin Guo Anran Hu Renyuan Xu Junzi Zhang OffRL AI4CE 137 51 0 13 Mar 2020
Multi Type Mean Field Reinforcement Learning Sriram Ganapathi Subramanian Pascal Poupart Matthew E. Taylor N. Hegde AI4CE 144 56 0 06 Feb 2020
Model-Free Mean-Field Reinforcement Learning: Mean-Field MDP and Mean-Field Q-Learning René Carmona Mathieu Laurière Zongjun Tan OffRL 83 99 0 28 Oct 2019
Actor-Critic Provably Finds Nash Equilibria of Linear-Quadratic Mean-Field Games Zuyue Fu Zhuoran Yang Yongxin Chen Zhaoran Wang 109 54 0 16 Oct 2019
Linear-Quadratic Mean-Field Reinforcement Learning: Convergence of Policy Gradient Methods René Carmona Mathieu Laurière Zongjun Tan 104 63 0 09 Oct 2019
On the Convergence of Model Free Learning in Mean Field Games Romuald Elie Julien Pérolat Mathieu Laurière Matthieu Geist Olivier Pietquin 112 93 0 04 Jul 2019
Deep Fictitious Play for Stochastic Differential Games Ruimeng Hu 105 29 0 22 Mar 2019
Coordinating the Crowd: Inducing Desirable Equilibria in Non-Cooperative Systems D. Mguni Joel Jennings Sergio Valcarcel Macua Emilio Sison S. Ceppi Enrique Munoz de Cote 57 39 0 30 Jan 2019
Balancing Two-Player Stochastic Games with Soft Q-Learning Jordi Grau-Moya Felix Leibfried Haitham Bou-Ammar 122 43 0 09 Feb 2018
An Information-Theoretic Optimality Principle for Deep Reinforcement Learning Felix Leibfried Jordi Grau-Moya Haitham Bou-Ammar 101 24 0 06 Aug 2017