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Model-based Multi-agent Reinforcement Learning: Recent Progress and
  Prospects

Model-based Multi-agent Reinforcement Learning: Recent Progress and Prospects

20 March 2022
Xihuai Wang
Zhicheng Zhang
Weinan Zhang
ArXivPDFHTML

Papers citing "Model-based Multi-agent Reinforcement Learning: Recent Progress and Prospects"

4 / 4 papers shown
Title
ZSC-Eval: An Evaluation Toolkit and Benchmark for Multi-agent Zero-shot
  Coordination
ZSC-Eval: An Evaluation Toolkit and Benchmark for Multi-agent Zero-shot Coordination
Xihuai Wang
Shao Zhang
Wenhao Zhang
Wentao Dong
Jingxiao Chen
Ying Wen
Weinan Zhang
30
8
0
08 Oct 2023
Centralized Training with Hybrid Execution in Multi-Agent Reinforcement
  Learning
Centralized Training with Hybrid Execution in Multi-Agent Reinforcement Learning
Pedro P. Santos
Diogo S. Carvalho
Miguel Vasco
Alberto Sardinha
Pedro A. Santos
Ana Paiva
Francisco S. Melo
21
1
0
12 Oct 2022
A Survey on Model-based Reinforcement Learning
A Survey on Model-based Reinforcement Learning
Fan Luo
Tian Xu
Hang Lai
Xiong-Hui Chen
Weinan Zhang
Yang Yu
OffRL
LRM
50
101
0
19 Jun 2022
SMARTS: Scalable Multi-Agent Reinforcement Learning Training School for
  Autonomous Driving
SMARTS: Scalable Multi-Agent Reinforcement Learning Training School for Autonomous Driving
Ming Zhou
Jun Luo
Julian Villela
Yaodong Yang
David Rusu
...
H. Ammar
Hongbo Zhang
Wulong Liu
Jianye Hao
Jun Wang
139
193
0
19 Oct 2020
1