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Implementation of a Deep Reinforcement Learning algorithm, Proximal Policy Optimization (SOTA), on a continuous action space openai gym (Box2D/Car Racing v0)

Python 100.00%
proximal-policy-optimization openai-gym deep-reinforcement-learning ppo policy-optimization

car-racing-ppo's Introduction

Hola ๐Ÿ‘‹, I'm Ahmed ElSheikh

๐Ÿค– Cyber Machine Learning Engineer

  • ๐Ÿ”ญ I published a paper in EMNLP2021 outperforming current SOTA in WSD with 65% reduction in number of trainable parameters, Paper: "Integrating Personalized PageRank into Neural Word Sense Disambiguation "

  • ๐Ÿ“ Artificial Intelligence and Robotics Masters holder from Sapienza University of Rome

  • ๐ŸŒฑ Iโ€™m currently using Python, Numpy, Pandas, Elasticsearch, Matplotlib, Scikit-learn, PyTorch, PyTorch Lightning

  • ๐Ÿ‘จโ€๐Ÿ’ป All of my projects are available at my e-portfolio

  • ๐Ÿ“ซ How to reach me [email protected]

  • ๐Ÿ“„ Know about my experiences in my resume

  • โšก Fun fact I'm a Bachatero, poet, amature cook, amature baker

Connect with me:

elsheikh-21 elsheikh21 elsheikh21

Languages and Tools:

arduino bash css3 docker gcp git html5 linux mysql postman python pytorch scikit_learn tensorflow

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