Curiosity & Entropy Driven Unsupervised RL in Multiple Environments

The authors of 'Unsupervised Reinforcement Learning in Multiple environments' propose a method, alpha-MEPOL, to tackle unsupervised RL across multiple environments. They pre-train a task-agnostic exploration policy using interactions from an entire environment class and then fine-tune this...

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Bibliographische Detailangaben

Hauptverfasser:	Dewan, Shaurya, Jain, Anisha, LaLena, Zoe, Yu, Lifan
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Artificial Intelligence Computer Science - Learning
Online-Zugang:	Volltext bestellen
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