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This project explores deep reinforcement learning, hybrid actor-critic approach with A3C/PPO combined with curiosity for playing Super Mario Bros

License: MIT License

Jupyter Notebook 70.81% Python 29.19%
reinforcement-learning mario a3c-curiosity pytorch curiosity a3c-lstm ppo-curiosity ppo deep-reinforcement-learning mva

super-mario-bros-rl's Introduction

Hey Welcome !

๐Ÿ‘จโ€๐Ÿ”ฌ About Me

I am a Data scientist from France ๐Ÿ‡ซ๐Ÿ‡ท of Moroccan ๐Ÿ‡ฒ๐Ÿ‡ฆ origin.

  • ๐Ÿ”ญ Iโ€™m currently working on Fact-checking and fake news detection using NLP @buster.ai

  • ๐Ÿ‘: I'm passionate about new technologies and continuous contributions.

  • ๐Ÿฅค What I do in my free time : ๐Ÿ•น๏ธ ๐Ÿž๏ธ ๐Ÿง‘โ€๐Ÿ’ป

  • ๐Ÿ“ซ How to reach me: Linkedin Badge

๐Ÿ› ๏ธ Languages and Tools :

  • Programming languages : Python R Bash SQL

  • Deeplearning Libraries & frameworks : Tensorflow Pytorch Pytorch-lightning Scikit-learn Pytest

  • Continuous Integration : Docker GitHub Actions

  • Cloud : AWS GCP

  • OS : Ubuntu Windows

  • IDE : PyCharm VSCode

sadeqa

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