lucidrains / phasic-policy-gradient

An implementation of Phasic Policy Gradient, a proposed improvement of Proximal Policy Gradients, in Pytorch

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Phasic Policy Gradient - Pytorch

An implementation of Phasic Policy Gradient, a proposed improvement on top of Proximal Policy Optimization (PPO), in Pytorch. It will be my very first project in Reinforcement Learning.

Install

$ pip install -r requirements.txt

Use

$ python train.py --render

Citations

@misc{cobbe2020phasic,
    title={Phasic Policy Gradient},
    author={Karl Cobbe and Jacob Hilton and Oleg Klimov and John Schulman},
    year={2020},
    eprint={2009.04416},
    archivePrefix={arXiv},
    primaryClass={cs.LG}
}

About

An implementation of Phasic Policy Gradient, a proposed improvement of Proximal Policy Gradients, in Pytorch

License:MIT License


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Language:Python 100.0%