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Robustifying a Policy in Multi-Agent RL with Diverse Cooperative
  Behaviors and Adversarial Style Sampling for Assistive Tasks

Robustifying a Policy in Multi-Agent RL with Diverse Cooperative Behaviors and Adversarial Style Sampling for Assistive Tasks

1 March 2024
Takayuki Osa
Tatsuya Harada
ArXivPDFHTML

Papers citing "Robustifying a Policy in Multi-Agent RL with Diverse Cooperative Behaviors and Adversarial Style Sampling for Assistive Tasks"

2 / 2 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
28
8
0
08 Oct 2023
Deep Reinforcement Learning for Autonomous Driving: A Survey
Deep Reinforcement Learning for Autonomous Driving: A Survey
B. R. Kiran
Ibrahim Sobh
V. Talpaert
Patrick Mannion
A. A. Sallab
S. Yogamani
P. Pérez
165
1,632
0
02 Feb 2020
1