Mean-Field Controls with Q-learning for Cooperative MARL: Convergence and Complexity Analysis

10 February 2020

Papers citing "Mean-Field Controls with Q-learning for Cooperative MARL: Convergence and Complexity Analysis"

38 / 38 papers shown

Title
Mean-Field Sampling for Cooperative Multi-Agent Reinforcement Learning Emile Anand Ishani Karmarkar Guannan Qu 81 1 0 01 Dec 2024
Deep Learning Algorithms for Mean Field Optimal Stopping in Finite Space and Discrete Time Lorenzo Magnino Yuchen Zhu Mathieu Laurière AI4CE 14 1 0 11 Oct 2024
Reinforcement Learning for Finite Space Mean-Field Type Games Kai Shao Jiacheng Shen Chijie An Mathieu Laurière AI4CE 19 1 0 25 Sep 2024
Robust Cooperative Multi-Agent Reinforcement Learning:A Mean-Field Type Game Perspective Muhammad Aneeq uz Zaman Mathieu Laurière Alec Koppel Tamer Basar 26 3 0 20 Jun 2024
Locally Interdependent Multi-Agent MDP: Theoretical Framework for Decentralized Agents with Dynamic Dependencies Alex DeWeese Guannan Qu 21 2 0 10 Jun 2024
Analysis of Multiscale Reinforcement Q-Learning Algorithms for Mean Field Control Games Andrea Angiuli J. Fouque Mathieu Laurière Mengrui Zhang 23 1 0 27 May 2024
Independent RL for Cooperative-Competitive Agents: A Mean-Field Perspective Muhammad Aneeq uz Zaman Alec Koppel Mathieu Laurière Tamer Basar 26 3 0 17 Mar 2024
Efficient Reinforcement Learning for Global Decision Making in the Presence of Local Agents at Scale Emile Anand Guannan Qu 36 5 0 01 Mar 2024
Collaborative Optimization of the Age of Information under Partial Observability Anam Tahir Kai Cui Bastian Alt Amr Rizk Heinz Koeppl 14 1 0 20 Dec 2023
Learning Discrete-Time Major-Minor Mean Field Games Kai Cui Gokcce Dayanikli Mathieu Laurière M. Geist Olivier Pietquin Heinz Koeppl 18 3 0 17 Dec 2023
Actor critic learning algorithms for mean-field control with moment neural networks Huyen Pham X. Warin 11 5 0 08 Sep 2023
MESOB: Balancing Equilibria & Social Optimality Xin Guo Lihong Li Sareh Nabi R. Salhab Junzi Zhang 11 3 0 16 Jul 2023
Learning Decentralized Partially Observable Mean Field Control for Artificial Collective Behavior Kai Cui Sascha H. Hauck Christian Fabian Heinz Koeppl 16 6 0 12 Jul 2023
Safe Model-Based Multi-Agent Mean-Field Reinforcement Learning Matej Jusup Barna Pásztor Tadeusz Janik Kecheng Zhang F. Corman Andreas Krause Ilija Bogunovic 19 3 0 29 Jun 2023
Continuous-time q-learning for mean-field control problems Xiaoli Wei Xian Yu 16 8 0 28 Jun 2023
On Imitation in Mean-field Games Giorgia Ramponi Pavel Kolev Olivier Pietquin Niao He Mathieu Laurière M. Geist AI4CE 17 0 0 26 Jun 2023
Major-Minor Mean Field Multi-Agent Reinforcement Learning Kai Cui Christian Fabian Anam Tahir Heinz Koeppl 14 2 0 19 Mar 2023
Actor-Critic learning for mean-field control in continuous time N. Frikha Maximilien Germain Mathieu Laurière H. Pham Xuan Song 16 16 0 13 Mar 2023
Convergence Rates for Localized Actor-Critic in Networked Markov Potential Games Zhaoyi Zhou Zaiwei Chen Yiheng Lin Adam Wierman 30 7 0 08 Mar 2023
Mean-Field Control based Approximation of Multi-Agent Reinforcement Learning in Presence of a Non-decomposable Shared Global State Washim Uddin Mondal Vaneet Aggarwal S. Ukkusuri 15 8 0 13 Jan 2023
Mean-Field Approximation of Cooperative Constrained Multi-Agent Reinforcement Learning (CMARL) Washim Uddin Mondal Vaneet Aggarwal S. Ukkusuri 18 4 0 15 Sep 2022
Scalable Task-Driven Robotic Swarm Control via Collision Avoidance and Learning Mean-Field Control Kai Cui Mengguang Li Christian Fabian Heinz Koeppl AI4CE 32 5 0 15 Sep 2022
Graphon Mean-Field Control for Cooperative Multi-Agent Reinforcement Learning Yuanquan Hu Xiaoli Wei Jun Yan Heng-Wei Zhang 19 8 0 11 Sep 2022
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 78 15 0 08 Sep 2022
On the Near-Optimality of Local Policies in Large Cooperative Multi-Agent Reinforcement Learning Washim Uddin Mondal Vaneet Aggarwal S. Ukkusuri 8 5 0 07 Sep 2022
Hypergraphon Mean Field Games Kai Cui Wasiur R. KhudaBukhsh Heinz Koeppl AI4CE 15 7 0 30 Mar 2022
Can Mean Field Control (MFC) Approximate Cooperative Multi Agent Reinforcement Learning (MARL) with Non-Uniform Interaction? Washim Uddin Mondal Vaneet Aggarwal S. Ukkusuri 10 9 0 28 Feb 2022
Learning Graphon Mean Field Games and Approximate Nash Equilibria Kai Cui Heinz Koeppl AI4CE 16 34 0 29 Nov 2021
Generalization in Mean Field Games by Learning Master Policies Sarah Perrin Mathieu Laurière Julien Pérolat Romuald Élie M. Geist Olivier Pietquin AI4CE 81 34 0 20 Sep 2021
On the Approximation of Cooperative Heterogeneous Multi-Agent Reinforcement Learning (MARL) using Mean Field Control (MFC) Washim Uddin Mondal Mridul Agarwal Vaneet Aggarwal S. Ukkusuri 17 43 0 09 Sep 2021
Mean-Field Multi-Agent Reinforcement Learning: A Decentralized Network Approach Haotian Gu Xin Guo Xiaoli Wei Renyuan Xu OOD 8 36 0 05 Aug 2021
Efficient Model-Based Multi-Agent Mean-Field Reinforcement Learning Barna Pásztor Ilija Bogunovic Andreas Krause 13 41 0 08 Jul 2021
Discrete-Time Mean Field Control with Environment States Kai Cui Anam Tahir Mark Sinzger Heinz Koeppl AI4CE 8 13 0 30 Apr 2021
Exploratory LQG Mean Field Games with Entropy Regularization Dena Firoozi S. Jaimungal 17 30 0 25 Nov 2020
Linear-Quadratic Zero-Sum Mean-Field Type Games: Optimality Conditions and Policy Optimization René Carmona Kenza Hamidouche Mathieu Laurière Zongjun Tan 19 10 0 01 Sep 2020
Unified Reinforcement Q-Learning for Mean Field Game and Control Problems Andrea Angiuli J. Fouque Mathieu Laurière 24 70 0 24 Jun 2020
A General Framework for Learning Mean-Field Games Xin Guo Anran Hu Renyuan Xu Junzi Zhang OffRL AI4CE 16 49 0 13 Mar 2020
Model-Free Mean-Field Reinforcement Learning: Mean-Field MDP and Mean-Field Q-Learning René Carmona Mathieu Laurière Zongjun Tan OffRL 16 97 0 28 Oct 2019