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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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| Vydáno v: | Sensors (Basel) |
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| Hlavní autoři: | , , , , |
| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
MDPI
2019
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| Témata: | |
| On-line přístup: | 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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