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Conflict-Aware Safe Reinforcement Learning:A Meta-Cognitive Learning Framework

Majid Mazouchi Subramanya Nageshrao Hamidreza Modares

自动化学报(英文版)2022,Vol.9Issue(3):466-481,16.
自动化学报(英文版)2022,Vol.9Issue(3):466-481,16.DOI:10.1109/JAS.2021.1004353

Conflict-Aware Safe Reinforcement Learning:A Meta-Cognitive Learning Framework

Conflict-Aware Safe Reinforcement Learning:A Meta-Cognitive Learning Framework

Majid Mazouchi 1Subramanya Nageshrao 2Hamidreza Modares1

作者信息

  • 1. Michigan State University,East Lansing,MI 48824 USA
  • 2. Ford Research and Innovation Center,Ford Motor Company,Palo Alto,CA 94304 USA
  • 折叠

摘要

关键词

Optimal control/receding-horizon attentional controller (RHAC)/reinforcement learning (RL)

Key words

Optimal control/receding-horizon attentional controller (RHAC)/reinforcement learning (RL)

引用本文复制引用

Majid Mazouchi,Subramanya Nageshrao,Hamidreza Modares..Conflict-Aware Safe Reinforcement Learning:A Meta-Cognitive Learning Framework[J].自动化学报(英文版),2022,9(3):466-481,16.

基金项目

This work was supported by Ford Motor Company-Michigan State University Alliance. ()

自动化学报(英文版)

OACSCDCSTPCDEI

2329-9266

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