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

Fuente: arXiv

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Bibliographic Details
Main Authors:	Osa, Takayuki, Harada, Tatsuya
Format:	Preprint
Published:	2024
Subjects:	Robotics Machine Learning
Online Access:	Acceder al recurso
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Internet

https://arxiv.org/abs/2403.00344