Authentic Boundary Proximal Policy Optimization

In recent years, the proximal policy optimization (PPO) algorithm has received considerable attention because of its excellent performance in many challenging tasks. However, there is still a large space for theoretical explanation of the mechanism of PPO's horizontal clipping operation, which...

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Veröffentlicht in:	IEEE transactions on cybernetics Jg. 52; H. 9; S. 9428 - 9438
Hauptverfasser:	Cheng, Yuhu, Huang, Longyang, Wang, Xuesong
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	United States IEEE 01.09.2022 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Algorithms Authentic boundary Control tasks Games Learning theory Linear programming Machine learning Neural networks Optimization penalized point policy difference Performance enhancement proximal policy optimization (PPO) Reinforcement learning reinforcement learning (RL) Robot control Robots rollback clipping Task analysis
ISSN:	2168-2267, 2168-2275, 2168-2275
Online-Zugang:	Volltext
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