SLM-Lab
Modular Deep Reinforcement Learning framework in PyTorch. Companion library of the book "Foundations of Deep Reinforcement Learning".
Build and test reinforcement learning models using a flexible framework designed for research and application.
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Free · no card · unsubscribe anytimeModular Deep Reinforcement Learning framework in PyTorch. Companion library of the book "Foundations of Deep Reinforcement Learning".
SLM-Lab has 1.4k stars on GitHub. It has been forked 290 times. SLM-Lab is written mainly in Python. It has been in active development since 2017. SLM-Lab is available under the MIT license. Its main topics are a2c, a3c, benchmark, deep-reinforcement-learning.
What is SLM-Lab?
Modular Deep Reinforcement Learning framework in PyTorch. Companion library of the book "Foundations of Deep Reinforcement Learning".
Is SLM-Lab open source?
SLM-Lab is an open-source project. It is released under the MIT license.
Is SLM-Lab free?
Yes. SLM-Lab is free and open source — you can use, modify and self-host it.
What license does SLM-Lab use?
SLM-Lab is available under the MIT license.
What language is SLM-Lab written in?
SLM-Lab is written mainly in Python.
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