Sampled-data control through model-free reinforcement learning with effective experience replay
Reinforcement Learning (RL) based control algorithms can learn the control strategies for nonlinear and uncertain environment during interacting with it. Guided by the rewards generated by environment, a RL agent can learn the control strategy directly in a model-free way instead of investigating th...
| 出版年: | Journal of Automation and Intelligence |
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| 主要な著者: | , , , , , , |
| フォーマット: | 論文 |
| 言語: | 英語 |
| 出版事項: |
KeAi Communications Co., Ltd.
2023-02-01
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| 主題: | |
| オンライン・アクセス: | http://www.sciencedirect.com/science/article/pii/S2949855423000011 |
