A multi-step on-policy deep reinforcement learning method assisted by off-policy policy evaluation
Author:
Funder
National Natural Science Foundation of China
National Key Research and Development Program of China
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s10489-024-05508-9.pdf
Reference44 articles.
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3. Ma C, Cao Y, Dong D (2023) Reinforcement learning based time-varying formation control for quadrotor unmanned aerial vehicles system with input saturation. Appl Intell 53(23):28730–28744. https://doi.org/10.1007/s10489-023-05050-0
4. Gong Y, Xiong H, Li M, Wang H, Nian X (2023) Reinforcement learning for multi-agent formation navigation with scalability. Appl Intell 53(23):28207–28225. https://doi.org/10.1007/s10489-023-05007-3
5. Sun Z, Jing C, Guo S, An L (2023) PAC-Bayesian offline Meta-reinforcement learning. Appl Intell 53(22):27128–27147. https://doi.org/10.1007/s10489-023-04911-y
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