pytorch-ddpg-naf
Implementation of algorithms for continuous control (DDPG and NAF).
Run algorithms for continuous control tasks using deep reinforcement learning techniques.
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Free · no card · unsubscribe anytimeImplementation of algorithms for continuous control (DDPG and NAF).
pytorch-ddpg-naf has 313 stars on GitHub. It has been forked 70 times. pytorch-ddpg-naf is written mainly in Python. It has been in active development since 2017. pytorch-ddpg-naf is available under the MIT license. Its main topics are ddpg, deep-deterministic-policy-gradient, deep-learning, pytorch.
What is pytorch-ddpg-naf?
Implementation of algorithms for continuous control (DDPG and NAF).
Is pytorch-ddpg-naf open source?
pytorch-ddpg-naf is an open-source project. It is released under the MIT license.
Is pytorch-ddpg-naf free?
Yes. pytorch-ddpg-naf is free and open source — you can use, modify and self-host it.
What license does pytorch-ddpg-naf use?
pytorch-ddpg-naf is available under the MIT license.
What language is pytorch-ddpg-naf written in?
pytorch-ddpg-naf is written mainly in Python.
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