Deep Reinforcement Learning for Infinite Horizon Mean Field Problems in Continuous Spaces

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Deep Reinforcement Learning for Infinite Horizon Mean Field Problems in Continuous Spaces

19 September 2023

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Papers citing "Deep Reinforcement Learning for Infinite Horizon Mean Field Problems in Continuous Spaces"

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Title
Reinforcement learning Florentin Wörgötter 86 2,529 0 16 May 2024
Actor-Critic learning for mean-field control in continuous time N. Frikha Maximilien Germain Mathieu Laurière H. Pham Xuan Song 70 17 0 13 Mar 2023
Global Convergence of Two-timescale Actor-Critic for Solving Linear Quadratic Regulator Xu-yang Chen Jingliang Duan Yingbin Liang Lin Zhao 58 8 0 18 Aug 2022
q-Learning in Continuous Time Yanwei Jia X. Zhou OffRL 119 77 0 02 Jul 2022
Scalable Deep Reinforcement Learning Algorithms for Mean Field Games Mathieu Laurière Sarah Perrin Sertan Girgin Paul Muller Ayush Jain ... Georgios Piliouras Julien Pérolat Romuald Élie Olivier Pietquin Matthieu Geist 89 44 0 22 Mar 2022
Policy Gradient and Actor-Critic Learning in Continuous Time and Space: Theory and Algorithms Yanwei Jia X. Zhou OffRL 117 85 0 22 Nov 2021
Policy Evaluation and Temporal-Difference Learning in Continuous Time and Space: A Martingale Approach Yanwei Jia X. Zhou OffRL 66 67 0 15 Aug 2021
Deep Learning for Mean Field Games and Mean Field Control with Applications to Finance René Carmona Mathieu Laurière AI4CE 74 28 0 09 Jul 2021
Reinforcement Learning for Mean Field Games, with Applications to Economics Andrea Angiuli J. Fouque Mathieu Lauriere 77 27 0 25 Jun 2021
Mean Field Games Flock! The Reinforcement Learning Way Sarah Perrin Mathieu Laurière Julien Pérolat Matthieu Geist Romuald Élie Olivier Pietquin AI4CE 68 47 0 17 May 2021
Approximately Solving Mean Field Games via Entropy-Regularized Deep Reinforcement Learning Kai Cui Heinz Koeppl 126 94 0 02 Feb 2021
Entropy Regularization for Mean Field Games with Learning Xin Guo Renyuan Xu T. Zariphopoulou OOD 90 75 0 30 Sep 2020
Unified Reinforcement Q-Learning for Mean Field Game and Control Problems Andrea Angiuli J. Fouque Mathieu Laurière 127 73 0 24 Jun 2020
Model-Free Mean-Field Reinforcement Learning: Mean-Field MDP and Mean-Field Q-Learning René Carmona Mathieu Laurière Zongjun Tan OffRL 79 98 0 28 Oct 2019
Generative Modeling by Estimating Gradients of the Data Distribution Yang Song Stefano Ermon SyDa DiffM 258 3,962 0 12 Jul 2019
Asynchronous Methods for Deep Reinforcement Learning Volodymyr Mnih Adria Puigdomenech Badia M. Berk Mirza Alex Graves Timothy Lillicrap Tim Harley David Silver Koray Kavukcuoglu 210 8,882 0 04 Feb 2016
Variational Inference with Normalizing Flows Danilo Jimenez Rezende S. Mohamed DRL BDL 322 4,198 0 21 May 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 2.1K 150,433 0 22 Dec 2014