On the Statistical Efficiency of Mean Field Reinforcement Learning with General Function Approximation

18 May 2023

Papers citing "On the Statistical Efficiency of Mean Field Reinforcement Learning with General Function Approximation"

16 / 16 papers shown

Title
Steering No-Regret Agents in MFGs under Model Uncertainty Leo Widmer Jiawei Huang Niao He LLMSV 61 0 0 12 Mar 2025
Stochastic Semi-Gradient Descent for Learning Mean Field Games with Population-Aware Function Approximation Chenyu Zhang Xu Chen Xuan Di 81 4 0 17 Feb 2025
Scalable Offline Reinforcement Learning for Mean Field Games Axel Brunnbauer Julian Lemmel Z. Babaiee Sophie A. Neubauer Radu Grosu OffRL 35 0 0 23 Oct 2024
Exploiting Approximate Symmetry for Efficient Multi-Agent Reinforcement Learning Batuhan Yardim Niao He AI4CE 41 5 0 27 Aug 2024
Learning to Steer Markovian Agents under Model Uncertainty Jiawei Huang Vinzenz Thoma Zebang Shen H. Nax Niao He 29 2 0 14 Jul 2024
MF-OML: Online Mean-Field Reinforcement Learning with Occupation Measures for Large Population Games Anran Hu Junzi Zhang 28 5 0 01 May 2024
DPO Meets PPO: Reinforced Token Optimization for RLHF Han Zhong Guhao Feng Guhao Feng Li Zhao Di He Jiang Bian Liwei Wang Jiang Bian Liwei Wang 55 56 0 29 Apr 2024
When is Mean-Field Reinforcement Learning Tractable and Relevant? Batuhan Yardim Artur Goldman Niao He 13 7 0 08 Feb 2024
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
Networked Communication for Decentralised Agents in Mean-Field Games Patrick Benjamin Alessandro Abate FedML 35 2 0 05 Jun 2023
Policy Mirror Ascent for Efficient and Independent Learning in Mean Field Games Batuhan Yardim Semih Cayci M. Geist Niao He 48 28 0 29 Dec 2022
A Self-Play Posterior Sampling Algorithm for Zero-Sum Markov Games Wei Xiong Han Zhong Chengshuai Shi Cong Shen Tong Zhang 53 19 0 04 Oct 2022
A General Framework for Sample-Efficient Function Approximation in Reinforcement Learning Zixiang Chen C. J. Li An Yuan Quanquan Gu Michael I. Jordan OffRL 108 26 0 30 Sep 2022
Scaling up Mean Field Games with Online Mirror Descent Julien Perolat Sarah Perrin Romuald Elie Mathieu Laurière Georgios Piliouras M. Geist K. Tuyls Olivier Pietquin LRM AI4CE 48 45 0 28 Feb 2021
Model-free Representation Learning and Exploration in Low-rank MDPs Aditya Modi Jinglin Chen A. Krishnamurthy Nan Jiang Alekh Agarwal OffRL 98 78 0 14 Feb 2021
Approximately Solving Mean Field Games via Entropy-Regularized Deep Reinforcement Learning Kai Cui Heinz Koeppl 56 91 0 02 Feb 2021