PyTorch-RL
PyTorch implementation of Deep Reinforcement Learning: Policy Gradient methods (TRPO, PPO, A2C) and Generative Adversarial Imitation Learning (GAIL). Fast Fisher vector product TRPO.
Implement and test advanced learning techniques for training AI agents in various scenarios.
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Free · no card · unsubscribe anytimePyTorch implementation of Deep Reinforcement Learning: Policy Gradient methods (TRPO, PPO, A2C) and Generative Adversarial Imitation Learning (GAIL). Fast Fisher vector product TRPO.
PyTorch-RL has 1.3k stars on GitHub. It has been forked 192 times. PyTorch-RL is written mainly in Python. It has been in active development since 2017. PyTorch-RL is available under the MIT license. Its main topics are a2c, deep-reinforcement-learning, fisher-vectors, generative-adversarial-network.
What is PyTorch-RL?
PyTorch implementation of Deep Reinforcement Learning: Policy Gradient methods (TRPO, PPO, A2C) and Generative Adversarial Imitation Learning (GAIL). Fast Fisher vector product TRPO.
Is PyTorch-RL open source?
PyTorch-RL is an open-source project. It is released under the MIT license.
Is PyTorch-RL free?
Yes. PyTorch-RL is free and open source — you can use, modify and self-host it.
What license does PyTorch-RL use?
PyTorch-RL is available under the MIT license.
What language is PyTorch-RL written in?
PyTorch-RL is written mainly in Python.
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