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

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

10 May 2023

Tianhao Wang

Quanquan Gu

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

8 / 8 papers shown

Title
Mean-Field Sampling for Cooperative Multi-Agent Reinforcement Learning Emile Anand Ishani Karmarkar Guannan Qu 81 1 0 01 Dec 2024
Communication-Efficient Collaborative Regret Minimization in Multi-Armed Bandits Nikolai Karpov Qin Zhang 12 1 0 26 Jan 2023
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 17 7 0 04 Oct 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 38 22 0 26 May 2022
Distributed Contextual Linear Bandits with Minimax Optimal Communication Cost Sanae Amani Tor Lattimore András Gyorgy Lin F. Yang FedML 23 9 0 26 May 2022
Computationally Efficient Horizon-Free Reinforcement Learning for Linear Mixture MDPs Dongruo Zhou Quanquan Gu 70 43 0 23 May 2022
Asynchronous Upper Confidence Bound Algorithms for Federated Linear Bandits Chuanhao Li Hongning Wang FedML 11 35 0 04 Oct 2021
Provably Efficient Reinforcement Learning with Linear Function Approximation Under Adaptivity Constraints Chi Jin Zhuoran Yang Zhaoran Wang OffRL 107 166 0 06 Jan 2021