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The Actor-Dueling-Critic Method for Reinforcement Learning

Model-free reinforcement learning is a powerful and efficient machine-learning paradigm which has been generally used in the robotic control domain. In the reinforcement learning setting, the value function method learns policies by maximizing the state-action value (Q value), but it suffers from in...

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Dades bibliogràfiques
Publicat a:Sensors (Basel)
Autors principals: Wu, Menghao, Gao, Yanbin, Jung, Alexander, Zhang, Qiang, Du, Shitong
Format: Artigo
Idioma:Inglês
Publicat: MDPI 2019
Matèries:
Accés en línia:https://ncbi.nlm.nih.gov/pmc/articles/PMC6479875/
https://ncbi.nlm.nih.gov/pubmed/30935035
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s19071547
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