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Nonconvergence to Saddle Boundary Points under Perturbed Reinforcement Learning ∗

机译：扰动强化学习中鞍边界点的非收敛性*

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1. Nonconvergence to saddle boundary points under perturbed reinforcementn learning [J] . Chasparis Georgios C., Shamma Jeff S., Rantzer Anders International Journal of Game Theory . 2015,第3期

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2. Semantic Boundary Detection With Reinforcement Learning for Continuous Sign Language Recognition [J] . Wei Chengcheng, Zhao Jian, Zhou Wengang, IEEE Transactions on Circuits and Systems for Video Technology . 2021,第3期

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3. Optimizing the Pairs-Trading Strategy Using Deep Reinforcement Learning with Trading and Stop-Loss Boundaries [J] . Taewook Kim, Ha Young Kim Complexity . 2019,第1期

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5. Numerical methods for singularly perturbed boundary value problems and singularly perturbed equations. [D] . Savin, Igor. 2010

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6. How much of reinforcement learning is working memory not reinforcement learning? A behavioral computational and neurogenetic analysis [O] . Anne G. E. Collins, Michael J. Frank -1

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7. A numerical study of fish adaption behaviors in complex environments with a deep reinforcement learning and immersed boundary–lattice Boltzmann method [O] . Yi Zhu, Fang-Bao Tian, John Young, 2021

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8. Nonconvergence to Saddle Boundary Points under Perturbed Reinforcement Learning. [R] . Chasparis, G. C., Shamma, J. S., Rantzer, A. 2012

机译：扰动强化学习下鞍边界点的非收敛性。

Nonconvergence to Saddle Boundary Points under Perturbed Reinforcement Learning ∗

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