A Robust Mean-Field Actor-Critic Reinforcement Learning Against Adversarial Perturbations on Agent States
Author:
Affiliation:
1. Department of Computer Science, Tongji University, Shanghai, China
2. Department of Electrical and Computer Engineering, New Jersey Institute of Technology, Newark, NJ, USA
Funder
Science and Technology Commission of Shanghai Municipality
National Natural Science Foundation of China
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Artificial Intelligence,Computer Networks and Communications,Computer Science Applications,Software
Link
http://xplorestaging.ieee.org/ielx7/5962385/6104215/10143665.pdf?arnumber=10143665
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