A step-by-step Policy Gradient algorithms Colab + Pytorch tutorial

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Hi, ML redditors! I and my colleagues made a Reinforcement Learning tutorial in Pytorch which consists of Policy Gradient algorithms from A2C to SAC. In addition, it includes learning acceleration methods using demonstrations for treating real applications with sparse rewards:


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