Entropy Regularization for Mean Field Games with Learning

Entropy Regularization for Mean Field Games with Learning

30 September 2020

T. Zariphopoulou

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

12 / 12 papers shown

Title
Efficient Learning for Entropy-Regularized Markov Decision Processes via Multilevel Monte Carlo Matthieu Meunier C. Reisinger Yufei Zhang 39 0 0 27 Mar 2025
Reinforcement Learning for Jump-Diffusions, with Financial Applications Xuefeng Gao Lingfei Li X. Zhou 46 1 0 08 Jan 2025
Bounded Rationality Equilibrium Learning in Mean Field Games Yannick Eich Christian Fabian Kai Cui Heinz Koeppl 36 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 35 5 0 19 Sep 2023
Networked Communication for Decentralised Agents in Mean-Field Games Patrick Benjamin Alessandro Abate FedML 40 2 0 05 Jun 2023
A Policy Gradient Framework for Stochastic Optimal Control Problems with Global Convergence Guarantee Mo Zhou Jian-Xiong Lu 33 7 0 11 Feb 2023
Choquet regularization for reinforcement learning Xia Han Ruodu Wang X. Zhou 38 2 0 17 Aug 2022
Exploration-exploitation trade-off for continuous-time episodic reinforcement learning with linear-convex models Lukasz Szpruch Tanut Treetanthiploet Yufei Zhang 16 24 0 19 Dec 2021
Policy Gradient and Actor-Critic Learning in Continuous Time and Space: Theory and Algorithms Yanwei Jia X. Zhou OffRL 30 78 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 89 35 0 20 Sep 2021
Robust Risk-Aware Reinforcement Learning S. Jaimungal Silvana M. Pesenti Ye Wang Hariom Tatsat 38 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 19 24 0 19 Apr 2021