pytorch-DRL
PyTorch implementations of various Deep Reinforcement Learning (DRL) algorithms for both single agent and multi-agent.
Create and test various learning agents that can make decisions based on rewards in different environments.
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Free · no card · unsubscribe anytimePyTorch implementations of various Deep Reinforcement Learning (DRL) algorithms for both single agent and multi-agent.
pytorch-DRL has 617 stars on GitHub. It has been forked 108 times. pytorch-DRL is written mainly in Python. It has been in active development since 2017. pytorch-DRL is available under the MIT license. Its main topics are a2c, acktr, actor-critic, advantage-actor-critic.
What is pytorch-DRL?
PyTorch implementations of various Deep Reinforcement Learning (DRL) algorithms for both single agent and multi-agent.
Is pytorch-DRL open source?
pytorch-DRL is an open-source project. It is released under the MIT license.
Is pytorch-DRL free?
Yes. pytorch-DRL is free and open source — you can use, modify and self-host it.
What license does pytorch-DRL use?
pytorch-DRL is available under the MIT license.
What language is pytorch-DRL written in?
pytorch-DRL is written mainly in Python.
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