Train an AI agent to play Atari games at a human-level performance using world models.
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dreamerv2 has 1.1k stars on GitHub. It has been forked 212 times. dreamerv2 is written mainly in Python. It has been in active development since 2020. dreamerv2 is available under the MIT license. Its main topics are artificial-intelligence, atari, deep-learning, machine-learning.
What is dreamerv2?
Mastering Atari with Discrete World Models
Is dreamerv2 open source?
dreamerv2 is an open-source project. It is released under the MIT license.
Is dreamerv2 free?
Yes. dreamerv2 is free and open source — you can use, modify and self-host it.
What license does dreamerv2 use?
dreamerv2 is available under the MIT license.
What language is dreamerv2 written in?
dreamerv2 is written mainly in Python.
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