Deep-reinforcement-learning-with-pytorch
PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....
Run and learn various deep reinforcement learning algorithms using clear Python code.
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Free · no card · unsubscribe anytimePyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....
Deep-reinforcement-learning-with-pytorch has 4.6k stars on GitHub. It has been forked 897 times. Deep-reinforcement-learning-with-pytorch is written mainly in Python. It has been in active development since 2018. Deep-reinforcement-learning-with-pytorch is available under the MIT license. Its main topics are a2c, a3c, actor-critic, actor-critic-algorithm.
What is Deep-reinforcement-learning-with-pytorch?
PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....
Is Deep-reinforcement-learning-with-pytorch open source?
Deep-reinforcement-learning-with-pytorch is an open-source project. It is released under the MIT license.
Is Deep-reinforcement-learning-with-pytorch free?
Yes. Deep-reinforcement-learning-with-pytorch is free and open source — you can use, modify and self-host it.
What license does Deep-reinforcement-learning-with-pytorch use?
Deep-reinforcement-learning-with-pytorch is available under the MIT license.
What language is Deep-reinforcement-learning-with-pytorch written in?
Deep-reinforcement-learning-with-pytorch is written mainly in Python.
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