A Review of Safe Reinforcement Learning : Methods, Theories, and Applications
Reinforcement Learning (RL) has achieved tremendous success in many complex decision-making tasks. However, safety concerns are raised during deploying RL in real-world applications, leading to a growing demand for safe RL algorithms, such as in autonomous driving and robotics scenarios. While safe...
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Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on pattern analysis and machine intelligence. - 1979. - 46(2024), 12 vom: 10. Dez., Seite 11216-11235
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| 1. Verfasser: |
Gu, Shangding
(VerfasserIn) |
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| Weitere Verfasser: |
Yang, Long,
Du, Yali,
Chen, Guang,
Walter, Florian,
Wang, Jun,
Knoll, Alois |
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| Format: | Online-Aufsatz
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| Sprache: | English |
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| Veröffentlicht: |
2024
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| Zugriff auf das übergeordnete Werk: | IEEE transactions on pattern analysis and machine intelligence
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| Schlagworte: | Journal Article |
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