Entropy Regularization for Mean Field Games with Learning

30 September 2020

Papers citing "Entropy Regularization for Mean Field Games with Learning"

9 / 9 papers shown

Title
Bounded Rationality Equilibrium Learning in Mean Field Games Yannick Eich Christian Fabian Kai Cui Heinz Koeppl 26 0 0 11 Nov 2024
Deep Reinforcement Learning for Infinite Horizon Mean Field Problems in Continuous Spaces Andrea Angiuli J. Fouque Ruimeng Hu Alan Raydan 30 5 0 19 Sep 2023
Networked Communication for Decentralised Agents in Mean-Field Games Patrick Benjamin Alessandro Abate FedML 38 2 0 05 Jun 2023
A Policy Gradient Framework for Stochastic Optimal Control Problems with Global Convergence Guarantee Mo Zhou Jian-Xiong Lu 23 7 0 11 Feb 2023
Choquet regularization for reinforcement learning Xia Han Ruodu Wang X. Zhou 21 2 0 17 Aug 2022
Policy Gradient and Actor-Critic Learning in Continuous Time and Space: Theory and Algorithms Yanwei Jia X. Zhou OffRL 16 79 0 22 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
Robust Risk-Aware Reinforcement Learning S. Jaimungal Silvana M. Pesenti Ye Wang Hariom Tatsat 22 32 0 23 Aug 2021
Reinforcement learning for linear-convex models with jumps via stability analysis of feedback controls Xin Guo Anran Hu Yufei Zhang 11 24 0 19 Apr 2021