Real-World Fluid Directed Rigid Body Control via Deep Reinforcement Learning

Recent advances in real-world applications of reinforcement learning (RL) have relied on the ability to accurately simulate systems at scale. However, domains such as fluid dynamical systems exhibit complex dynamic phenomena that are hard to simulate at high integration rates, limiting the direct ap...

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Bibliographische Detailangaben

Hauptverfasser:	Bhardwaj, Mohak, Lampe, Thomas, Neunert, Michael, Romano, Francesco, Abdolmaleki, Abbas, Byravan, Arunkumar, Wulfmeier, Markus, Riedmiller, Martin, Buchli, Jonas
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Learning Computer Science - Robotics
Online-Zugang:	Volltext bestellen
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