A Unifying Framework for Reinforcement Learning and Planning

Sequential decision making, commonly formalized as optimization of a Markov Decision Process, is a key challenge in artificial intelligence. Two successful approaches to MDP optimization are reinforcement learning and planning, which both largely have their own research communities. However, if both...

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Detalles Bibliográficos
Autores principales: Moerland, Thomas M., Broekens, Joost, Plaat, Aske, Jonker, Catholijn M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Artificial Intelligence
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9309375/
https://www.ncbi.nlm.nih.gov/pubmed/35898393
http://dx.doi.org/10.3389/frai.2022.908353

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9309375/
https://www.ncbi.nlm.nih.gov/pubmed/35898393
http://dx.doi.org/10.3389/frai.2022.908353

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