pytorch-a2c-ppo-acktr-gail
PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR) and Generative Adversarial Imitation Learning (GAIL).
Implement reinforcement learning algorithms to train AI models for tasks like game playing using PyTorch.
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Free · no card · unsubscribe anytimePyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR) and Generative Adversarial Imitation Learning (GAIL).
pytorch-a2c-ppo-acktr-gail has 3.9k stars on GitHub. It has been forked 842 times. pytorch-a2c-ppo-acktr-gail is written mainly in Python. It has been in active development since 2017. pytorch-a2c-ppo-acktr-gail is available under the MIT license. Its main topics are a2c, acktr, actor-critic, advantage-actor-critic.
What is pytorch-a2c-ppo-acktr-gail?
PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR) and Generative Adversarial Imitation Learning (GAIL).
Is pytorch-a2c-ppo-acktr-gail open source?
pytorch-a2c-ppo-acktr-gail is an open-source project. It is released under the MIT license.
Is pytorch-a2c-ppo-acktr-gail free?
Yes. pytorch-a2c-ppo-acktr-gail is free and open source — you can use, modify and self-host it.
What license does pytorch-a2c-ppo-acktr-gail use?
pytorch-a2c-ppo-acktr-gail is available under the MIT license.
What language is pytorch-a2c-ppo-acktr-gail written in?
pytorch-a2c-ppo-acktr-gail is written mainly in Python.
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