Efficient Model-Based Multi-Agent Mean-Field Reinforcement Learning

8 July 2021

Papers citing "Efficient Model-Based Multi-Agent Mean-Field Reinforcement Learning"

30 / 30 papers shown

Title
Combining Bayesian Inference and Reinforcement Learning for Agent Decision Making: A Review Chengmin Zhou Ville Kyrki P. Fränti Laura Ruotsalainen BDL AI4CE 42 0 0 12 May 2025
Multi-Robot Collaboration through Reinforcement Learning and Abstract Simulation Adam Labiosa Josiah P. Hanna 49 0 0 07 Mar 2025
Scalable Offline Reinforcement Learning for Mean Field Games Axel Brunnbauer Julian Lemmel Z. Babaiee Sophie A. Neubauer Radu Grosu OffRL 38 0 0 23 Oct 2024
Deep Learning Algorithms for Mean Field Optimal Stopping in Finite Space and Discrete Time Lorenzo Magnino Yuchen Zhu Mathieu Laurière AI4CE 24 1 0 11 Oct 2024
Beyond Local Views: Global State Inference with Diffusion Models for Cooperative Multi-Agent Reinforcement Learning Zhiwei Xu Hangyu Mao Nianmin Zhang Xin Xin Pengjie Ren ... Bin Zhang Guoliang Fan Zhumin Chen Changwei Wang Jiangjin Yin DiffM 22 1 0 18 Aug 2024
Model-Based RL for Mean-Field Games is not Statistically Harder than Single-Agent RL Jiawei Huang Niao He Andreas Krause 24 6 0 08 Feb 2024
Learning Discrete-Time Major-Minor Mean Field Games Kai Cui Gokcce Dayanikli Mathieu Laurière M. Geist Olivier Pietquin Heinz Koeppl 26 3 0 17 Dec 2023
Efficient Model-Based Concave Utility Reinforcement Learning through Greedy Mirror Descent B. Moreno Margaux Brégère Pierre Gaillard Nadia Oudjane 14 4 0 30 Nov 2023
Efficient Exploration in Continuous-time Model-based Reinforcement Learning Lenart Treven Jonas Hübotter Bhavya Sukhija Florian Dorfler Andreas Krause 27 5 0 30 Oct 2023
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
Safe Model-Based Multi-Agent Mean-Field Reinforcement Learning Matej Jusup Barna Pásztor Tadeusz Janik Kecheng Zhang F. Corman Andreas Krause Ilija Bogunovic 29 3 0 29 Jun 2023
Continuous-time q-learning for mean-field control problems Xiaoli Wei Xian Yu 29 8 0 28 Jun 2023
On Imitation in Mean-field Games Giorgia Ramponi Pavel Kolev Olivier Pietquin Niao He Mathieu Laurière M. Geist AI4CE 30 0 0 26 Jun 2023
Optimistic Active Exploration of Dynamical Systems Bhavya Sukhija Lenart Treven Cansu Sancaktar Sebastian Blaes Stelian Coros Andreas Krause 19 17 0 21 Jun 2023
On the Statistical Efficiency of Mean Field Reinforcement Learning with General Function Approximation Jiawei Huang Batuhan Yardim Niao He 34 10 0 18 May 2023
Major-Minor Mean Field Multi-Agent Reinforcement Learning Kai Cui Christian Fabian Anam Tahir Heinz Koeppl 21 2 0 19 Mar 2023
Efficient Planning in Combinatorial Action Spaces with Applications to Cooperative Multi-Agent Reinforcement Learning Volodymyr Tkachuk Seyed Alireza Bakhtiari Johannes Kirschner Matej Jusup Ilija Bogunovic Csaba Szepesvári 24 4 0 08 Feb 2023
Mean-Field Control based Approximation of Multi-Agent Reinforcement Learning in Presence of a Non-decomposable Shared Global State Washim Uddin Mondal Vaneet Aggarwal S. Ukkusuri 31 8 0 13 Jan 2023
Mean-Field Approximation of Cooperative Constrained Multi-Agent Reinforcement Learning (CMARL) Washim Uddin Mondal Vaneet Aggarwal S. Ukkusuri 28 4 0 15 Sep 2022
Scalable Task-Driven Robotic Swarm Control via Collision Avoidance and Learning Mean-Field Control Kai Cui Mengguang Li Christian Fabian Heinz Koeppl AI4CE 37 5 0 15 Sep 2022
Graphon Mean-Field Control for Cooperative Multi-Agent Reinforcement Learning Yuanquan Hu Xiaoli Wei Jun Yan Heng-Wei Zhang 32 8 0 11 Sep 2022
A Survey on Large-Population Systems and Scalable Multi-Agent Reinforcement Learning Kai Cui Anam Tahir Gizem Ekinci Ahmed Elshamanhory Yannick Eich Mengguang Li Heinz Koeppl AI4CE 89 15 0 08 Sep 2022
On the Near-Optimality of Local Policies in Large Cooperative Multi-Agent Reinforcement Learning Washim Uddin Mondal Vaneet Aggarwal S. Ukkusuri 23 5 0 07 Sep 2022
Mingling Foresight with Imagination: Model-Based Cooperative Multi-Agent Reinforcement Learning Zhiwei Xu Dapeng Li Bin Zhang Yuan Zhan Yunru Bai Guoliang Fan OffRL 24 6 0 20 Apr 2022
Efficient Model-based Multi-agent Reinforcement Learning via Optimistic Equilibrium Computation Pier Giuseppe Sessa Maryam Kamgarpour Andreas Krause 24 16 0 14 Mar 2022
Can Mean Field Control (MFC) Approximate Cooperative Multi Agent Reinforcement Learning (MARL) with Non-Uniform Interaction? Washim Uddin Mondal Vaneet Aggarwal S. Ukkusuri 18 9 0 28 Feb 2022
Learning Graphon Mean Field Games and Approximate Nash Equilibria Kai Cui Heinz Koeppl AI4CE 26 34 0 29 Nov 2021
On the Approximation of Cooperative Heterogeneous Multi-Agent Reinforcement Learning (MARL) using Mean Field Control (MFC) Washim Uddin Mondal Mridul Agarwal Vaneet Aggarwal S. Ukkusuri 33 43 0 09 Sep 2021
A General Framework for Learning Mean-Field Games Xin Guo Anran Hu Renyuan Xu Junzi Zhang OffRL AI4CE 29 49 0 13 Mar 2020
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 276 5,660 0 05 Dec 2016