RL Unplugged: A Suite of Benchmarks for Offline Reinforcement Learning

Offline methods for reinforcement learning have a potential to help bridge the gap between reinforcement learning research and real-world applications. They make it possible to learn policies from offline datasets, thus overcoming concerns associated with online data collection in the real-world, in...

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Hauptverfasser:	Gulcehre, Caglar, Wang, Ziyu, Novikov, Alexander, Paine, Tom Le, Colmenarejo, Sergio Gomez, Zolna, Konrad, Agarwal, Rishabh, Merel, Josh, Mankowitz, Daniel, Paduraru, Cosmin, Dulac-Arnold, Gabriel, Li, Jerry, Norouzi, Mohammad, Hoffman, Matt, Nachum, Ofir, Tucker, George, Heess, Nicolas, de Freitas, Nando
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Learning Statistics - Machine Learning
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