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Final project for BU EC500 K1/CS591 S2 Deep Learning

This project implements neural networks to play atari games using Reinforcement Learning.

The Following approaches to Reinforcement learning are explored:

  1. Deep Q Network
  2. Deep Policy Network
  3. Asynchronous Actor-Critic Network

Two games are played:

  1. Pong
  2. Pacman

The environments used in this project are:

  1. OpenAI gym
  2. Berkeley Pacman Framework