Linear-Quadratic Mean-Field Reinforcement Learning: Convergence of Policy Gradient Methods

9 October 2019

Papers citing "Linear-Quadratic Mean-Field Reinforcement Learning: Convergence of Policy Gradient Methods"

35 / 35 papers shown

Title
Robust Cooperative Multi-Agent Reinforcement Learning:A Mean-Field Type Game Perspective Muhammad Aneeq uz Zaman Mathieu Laurière Alec Koppel Tamer Basar 34 3 0 20 Jun 2024
Analysis of Multiscale Reinforcement Q-Learning Algorithms for Mean Field Control Games Andrea Angiuli J. Fouque Mathieu Laurière Mengrui Zhang 39 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 37 3 0 17 Mar 2024
Learning Zero-Sum Linear Quadratic Games with Improved Sample Complexity and Last-Iterate Convergence Jiduan Wu Anas Barakat Ilyas Fatkhullin Niao He 16 5 0 08 Sep 2023
Learning Decentralized Partially Observable Mean Field Control for Artificial Collective Behavior Kai Cui Sascha H. Hauck Christian Fabian Heinz Koeppl 32 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 27 3 0 29 Jun 2023
Actor-Critic learning for mean-field control in continuous time N. Frikha Maximilien Germain Mathieu Laurière H. Pham Xuan Song 24 16 0 13 Mar 2023
Towards a Theoretical Foundation of Policy Optimization for Learning Control Policies Bin Hu K. Zhang Na Li M. Mesbahi Maryam Fazel Tamer Bacsar 79 27 0 10 Oct 2022
Mean-Field Approximation of Cooperative Constrained Multi-Agent Reinforcement Learning (CMARL) Washim Uddin Mondal Vaneet Aggarwal S. Ukkusuri 28 4 0 15 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
Decentralized Mean Field Games Sriram Ganapathi Subramanian Matthew E. Taylor Mark Crowley Pascal Poupart OOD OffRL 24 14 0 16 Dec 2021
Adversarial Attacks in Cooperative AI Ted Fujimoto Arthur Paul Pedersen AAML 19 2 0 29 Nov 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 33 43 0 09 Sep 2021
Mean-Field Multi-Agent Reinforcement Learning: A Decentralized Network Approach Haotian Gu Xin Guo Xiaoli Wei Renyuan Xu OOD 21 36 0 05 Aug 2021
Efficient Model-Based Multi-Agent Mean-Field Reinforcement Learning Barna Pásztor Ilija Bogunovic Andreas Krause 18 41 0 08 Jul 2021
Exploration noise for learning linear-quadratic mean field games François Delarue A. Vasileiadis MLT 21 11 0 02 Jul 2021
Reinforcement Learning for Mean Field Games, with Applications to Economics Andrea Angiuli J. Fouque Mathieu Lauriere 20 26 0 25 Jun 2021
Model Free Reinforcement Learning Algorithm for Stationary Mean field Equilibrium for Multiple Types of Agents A. Ghosh Vaneet Aggarwal 13 7 0 31 Dec 2020
Policy Gradient Methods for the Noisy Linear Quadratic Regulator over a Finite Horizon B. Hambly Renyuan Xu Huining Yang 16 61 0 20 Nov 2020
Sample Efficient Reinforcement Learning with REINFORCE Junzi Zhang Jongho Kim Brendan O'Donoghue Stephen P. Boyd 33 98 0 22 Oct 2020
Entropy Regularization for Mean Field Games with Learning Xin Guo Renyuan Xu T. Zariphopoulou OOD 16 73 0 30 Sep 2020
Policy Optimization for Linear-Quadratic Zero-Sum Mean-Field Type Games René Carmona Kenza Hamidouche Mathieu Laurière Zongjun Tan 19 10 0 02 Sep 2020
Linear-Quadratic Zero-Sum Mean-Field Type Games: Optimality Conditions and Policy Optimization René Carmona Kenza Hamidouche Mathieu Laurière Zongjun Tan 19 9 0 01 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 25 26 0 16 Aug 2020
Unified Reinforcement Q-Learning for Mean Field Game and Control Problems Andrea Angiuli J. Fouque Mathieu Laurière 35 70 0 24 Jun 2020
Reinforcement Learning for Mean Field Games with Strategic Complementarities Kiyeob Lee Desik Rengarajan D. Kalathil S. Shakkottai 19 1 0 21 Jun 2020
Q-Learning in Regularized Mean-field Games Berkay Anahtarci Can Deha Kariksiz Naci Saldi OOD 13 75 0 24 Mar 2020
A General Framework for Learning Mean-Field Games Xin Guo Anran Hu Renyuan Xu Junzi Zhang OffRL AI4CE 21 49 0 13 Mar 2020
Adaptive Online Distributed Optimal Control of Very-Large-Scale Robotic Systems Pingping Zhu Chang-rui Liu Silvia Ferrari 17 12 0 04 Mar 2020
Alternating the Population and Control Neural Networks to Solve High-Dimensional Stochastic Mean-Field Games A. Lin Samy Wu Fung Wuchen Li L. Nurbekyan Stanley J. Osher 14 70 0 24 Feb 2020
Mean-Field Controls with Q-learning for Cooperative MARL: Convergence and Complexity Analysis Haotian Gu Xin Guo Xiaoli Wei Renyuan Xu 32 65 0 10 Feb 2020
Multi-Agent Reinforcement Learning: A Selective Overview of Theories and Algorithms K. Zhang Zhuoran Yang Tamer Basar 21 1,173 0 24 Nov 2019
Model-Free Mean-Field Reinforcement Learning: Mean-Field MDP and Mean-Field Q-Learning René Carmona Mathieu Laurière Zongjun Tan OffRL 21 97 0 28 Oct 2019
Convergence Analysis of Machine Learning Algorithms for the Numerical Solution of Mean Field Control and Games: I -- The Ergodic Case René Carmona Mathieu Laurière 17 7 0 13 Jul 2019
Linear Convergence of Gradient and Proximal-Gradient Methods Under the Polyak-Łojasiewicz Condition Hamed Karimi J. Nutini Mark W. Schmidt 119 1,194 0 16 Aug 2016