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Provably Efficient Cooperative Multi-Agent Reinforcement Learning with
  Function Approximation

Provably Efficient Cooperative Multi-Agent Reinforcement Learning with Function Approximation

8 March 2021
Abhimanyu Dubey
Alex Pentland
ArXivPDFHTML

Papers citing "Provably Efficient Cooperative Multi-Agent Reinforcement Learning with Function Approximation"

6 / 6 papers shown
Title
Harnessing the Power of Federated Learning in Federated Contextual
  Bandits
Harnessing the Power of Federated Learning in Federated Contextual Bandits
Chengshuai Shi
Ruida Zhou
Kun Yang
Cong Shen
FedML
21
0
0
26 Dec 2023
Graph Exploration for Effective Multi-agent Q-Learning
Graph Exploration for Effective Multi-agent Q-Learning
Ainur Zhaikhan
Ali H. Sayed
37
1
0
19 Apr 2023
Communication-Efficient Collaborative Regret Minimization in Multi-Armed
  Bandits
Communication-Efficient Collaborative Regret Minimization in Multi-Armed Bandits
Nikolai Karpov
Qin Zhang
21
1
0
26 Jan 2023
Byzantine-Robust Online and Offline Distributed Reinforcement Learning
Byzantine-Robust Online and Offline Distributed Reinforcement Learning
Yiding Chen
Xuezhou Zhang
Kaipeng Zhang
Mengdi Wang
Xiaojin Zhu
OffRL
23
16
0
01 Jun 2022
On Improving Model-Free Algorithms for Decentralized Multi-Agent
  Reinforcement Learning
On Improving Model-Free Algorithms for Decentralized Multi-Agent Reinforcement Learning
Weichao Mao
Lin F. Yang
Kaipeng Zhang
Tamer Bacsar
33
57
0
12 Oct 2021
Provably Efficient Reinforcement Learning with Linear Function
  Approximation Under Adaptivity Constraints
Provably Efficient Reinforcement Learning with Linear Function Approximation Under Adaptivity Constraints
Chi Jin
Zhuoran Yang
Zhaoran Wang
OffRL
122
166
0
06 Jan 2021
1