Cooperative Multi-Agent Reinforcement Learning: Asynchronous Communication and Linear Function Approximation

10 May 2023

Yifei Min

Jiafan He

Tianhao Wang

Quanquan Gu

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Papers citing "Cooperative Multi-Agent Reinforcement Learning: Asynchronous Communication and Linear Function Approximation"

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Title
Mean-Field Sampling for Cooperative Multi-Agent Reinforcement Learning Emile Anand Ishani Karmarkar Guannan Qu 104 2 0 01 Dec 2024
Nearly Minimax Optimal Reinforcement Learning for Linear Markov Decision Processes Jiafan He Heyang Zhao Dongruo Zhou Quanquan Gu OffRL 78 55 0 12 Dec 2022
Stateful active facilitator: Coordination and Environmental Heterogeneity in Cooperative Multi-Agent Reinforcement Learning Dianbo Liu Vedant Shah Oussama Boussif Cristian Meo Anirudh Goyal Tianmin Shu Michael C. Mozer N. Heess Yoshua Bengio 43 8 0 04 Oct 2022
A Simple and Provably Efficient Algorithm for Asynchronous Federated Contextual Linear Bandits Jiafan He Tianhao Wang Yifei Min Quanquan Gu FedML 55 33 0 07 Jul 2022
Pessimism in the Face of Confounders: Provably Efficient Offline Reinforcement Learning in Partially Observable Markov Decision Processes Miao Lu Yifei Min Zhaoran Wang Zhuoran Yang OffRL 69 22 0 26 May 2022
Federated Reinforcement Learning with Environment Heterogeneity Hao Jin Yang Peng Wenhao Yang Shusen Wang Zhihua Zhang 74 70 0 06 Apr 2022
Trust Region Policy Optimisation in Multi-Agent Reinforcement Learning J. Kuba Ruiqing Chen Munning Wen Ying Wen Fanglei Sun Jun Wang Yaodong Yang 83 234 0 23 Sep 2021
Nearly Minimax Optimal Reinforcement Learning for Linear Mixture Markov Decision Processes Dongruo Zhou Quanquan Gu Csaba Szepesvári 49 205 0 15 Dec 2020
Differentially-Private Federated Linear Bandits Abhimanyu Dubey Alex Pentland FedML 46 116 0 22 Oct 2020
Linear Bandits with Limited Adaptivity and Learning Distributional Optimal Design Yufei Ruan Jiaqi Yang Yuanshuo Zhou OffRL 118 52 0 04 Jul 2020
Provably Efficient Reinforcement Learning for Discounted MDPs with Feature Mapping Dongruo Zhou Jiafan He Quanquan Gu 35 134 0 23 Jun 2020
Model-Based Reinforcement Learning with Value-Targeted Regression Alex Ayoub Zeyu Jia Csaba Szepesvári Mengdi Wang Lin F. Yang OffRL 70 301 0 01 Jun 2020
Acme: A Research Framework for Distributed Reinforcement Learning Matthew W. Hoffman Bobak Shahriari John Aslanides Gabriel Barth-Maron Nikola Momchev ... Srivatsan Srinivasan A. Cowie Ziyun Wang Bilal Piot Nando de Freitas 90 225 0 01 Jun 2020
A Survey on Distributed Machine Learning Joost Verbraeken Matthijs Wolting Jonathan Katzy Jeroen Kloppenburg Tim Verbelen Jan S. Rellermeyer OOD 66 699 0 20 Dec 2019
Dota 2 with Large Scale Deep Reinforcement Learning OpenAI OpenAI : Christopher Berner Greg Brockman Brooke Chan ... Szymon Sidor Ilya Sutskever Jie Tang Filip Wolski Susan Zhang GNN VLM CLL AI4CE LRM 67 1,805 0 13 Dec 2019
Human-level performance in first-person multiplayer games with population-based deep reinforcement learning Max Jaderberg Wojciech M. Czarnecki Iain Dunning Luke Marris Guy Lever ... Joel Z Leibo David Silver Demis Hassabis Koray Kavukcuoglu T. Graepel OffRL 58 717 0 03 Jul 2018
Distributed Prioritized Experience Replay Dan Horgan John Quan David Budden Gabriel Barth-Maron Matteo Hessel H. V. Hasselt David Silver 126 736 0 02 Mar 2018
Fully Decentralized Multi-Agent Reinforcement Learning with Networked Agents Kai Zhang Zhuoran Yang Han Liu Tong Zhang Tamer Basar 56 584 0 23 Feb 2018
IMPALA: Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures L. Espeholt Hubert Soyer Rémi Munos Karen Simonyan Volodymyr Mnih ... Vlad Firoiu Tim Harley Iain Dunning Shane Legg Koray Kavukcuoglu 129 1,584 0 05 Feb 2018
Massively Parallel Methods for Deep Reinforcement Learning Arun Nair Praveen Srinivasan Sam Blackwell Cagdas Alcicek Rory Fearon ... Stig Petersen Shane Legg Volodymyr Mnih Koray Kavukcuoglu David Silver OffRL AI4CE GNN 58 504 0 15 Jul 2015