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[P] PyTorch implementation of 17 Deep RL algorithms

For anyone trying to learn or practice RL, here’s a repo with working PyTorch implementations of 17 RL algorithms including DQN, DQN-HER, Double DQN, REINFORCE, DDPG, DDPG-HER, PPO, SAC, SAC Discrete, A3C, A2C etc..

Let me know what you think!

https://github.com/p-christ/Deep-Reinforcement-Learning-Algorithms-with-PyTorch

submitted by /u/__data_science__
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Toronto AI is a social and collaborative hub to unite AI innovators of Toronto and surrounding areas. We explore AI technologies in digital art and music, healthcare, marketing, fintech, vr, robotics and more. Toronto AI was founded by Dave MacDonald and Patrick O'Mara.