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This repo is focused on the implementation of the Deep Q-Learning (DQN) agent to play Atari games. For this we use the Pong environment which are contained within the OpenAI Gym Atari package.

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dqn-atari's Introduction

Hello, My name is Samuel 👋🏾

I am a Software Engineer with a specialization in developing and maintaining cutting-edge Accounting software. Currently, I am furthering my expertise through an MSc by Research in Computer Science, with a focus on Deep Reinforcement Learning for Portfolio Optimization.

About me 🙎🏾‍♂️

  • 👨🏾‍💻 I’m interested in Software Development, Deep Learning, Robotics, and Everything in between
  • 📝 I’m currently learning more on Kubernetes, and AWS / GCP.
  • 👀 I’m looking to collaborate on projects in the Software Development, Cloud Computing, Deep Reinforcement Learning (DRL) and Dev-Ops fields
  • 📫 You can reach me on Twitter @saolxs
  • 👽 Fun Fact: I love exploring new fields and learning about the world

Blog Posts / Notes 📚

Let's Connect 🤙🏾

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