Estimating Q(s,s') with Deep Deterministic Dynamics Gradients

In this paper, we introduce a novel form of value function, $Q(s, s')$, that expresses the utility of transitioning from a state $s$ to a neighboring state $s'$ and then acting optimally thereafter. In order to derive an optimal policy, we develop a forward dynamics model that learns to ma...

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Bibliographische Detailangaben

Hauptverfasser:	Edwards, Ashley D, Sahni, Himanshu, Liu, Rosanne, Hung, Jane, Jain, Ankit, Wang, Rui, Ecoffet, Adrien, Miconi, Thomas, Isbell, Charles, Yosinski, Jason
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Artificial Intelligence Computer Science - Learning Statistics - Machine Learning
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