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Safe Model-Based Reinforcement Learning for Systems With Parametric Uncertainties
Reinforcement learning has been established over the past decade as an effective tool to find optimal control policies for dynamical systems, with recent focus on approaches that guarantee safety during the learning and/or execution phases. In general, safety guarantees are critical in reinforcement...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Frontiers Media S.A.
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8717089/ https://www.ncbi.nlm.nih.gov/pubmed/34977161 http://dx.doi.org/10.3389/frobt.2021.733104 |