Regularization of the policy updates for stabilizing Mean Field Games

Regularization of the policy updates for stabilizing Mean Field Games

4 April 2023

Rubén Solozabal

Merouane Debbah

Papers citing "Regularization of the policy updates for stabilizing Mean Field Games"

11 / 11 papers shown

Title
Networked Communication for Mean-Field Games with Function Approximation and Empirical Mean-Field Estimation Patrick Benjamin Alessandro Abate 103 1 0 21 Aug 2024
Reinforcement learning Florentin Wörgötter 82 2,537 0 16 May 2024
Networked Communication for Decentralised Agents in Mean-Field Games Patrick Benjamin Alessandro Abate FedML 92 2 0 05 Jun 2023
The Surprising Effectiveness of PPO in Cooperative, Multi-Agent Games Chao Yu Akash Velu Eugene Vinitsky Jiaxuan Gao Yu Wang Alexandre M. Bayen Yi Wu OffRL 132 1,246 0 02 Mar 2021
Approximately Solving Mean Field Games via Entropy-Regularized Deep Reinforcement Learning Kai Cui Heinz Koeppl 100 94 0 02 Feb 2021
Partially Observable Mean Field Reinforcement Learning Sriram Ganapathi Subramanian Matthew E. Taylor Mark Crowley Pascal Poupart OOD 64 27 0 31 Dec 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
OpenSpiel: A Framework for Reinforcement Learning in Games Marc Lanctot Edward Lockhart Jean-Baptiste Lespiau V. Zambaldi Satyaki Upadhyay ... Julian Schrittwieser Thomas W. Anthony Edward Hughes Ivo Danihelka Jonah Ryan-Davis OffRL 92 250 0 26 Aug 2019
QTRAN: Learning to Factorize with Transformation for Cooperative Multi-Agent Reinforcement Learning Kyunghwan Son Daewoo Kim Wan Ju Kang D. Hostallero Yung Yi OffRL 52 805 0 14 May 2019
Proximal Policy Optimization Algorithms John Schulman Filip Wolski Prafulla Dhariwal Alec Radford Oleg Klimov OffRL 473 19,006 0 20 Jul 2017
Deep Reinforcement Learning from Self-Play in Imperfect-Information Games Johannes Heinrich David Silver SSL 48 401 0 03 Mar 2016