Skip to content

Simplest Version of playing Atari with Deep Q Learning in Tensorflow

Notifications You must be signed in to change notification settings

floodsung/DQN-Atari-Tensorflow

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

2 Commits
 
 
 
 
 
 
 
 

Repository files navigation

DQN-Atari-Tensorflow

Reimplementing "Human-Level Control Through Deep Reinforcement Learning" in Tensorflow

This may be the simplest implementation of DQN to play Atari Games.

The pretrained network would release soon!

Prerequsite

  1. Tensorflow (prefer with GPU CUDA supported)
  2. opencv2
  3. Arcade Learning Environment ( https://github.com/mgbellemare/Arcade-Learning-Environment )

Setup and Run

git clone https://github.com/songrotek/DQN-Atari-Tensorflow.git

cd DQN-Atari-Tensorflow
python AtariDQN.py

Reference

  1. asrivat1/DeepLearningVideoGames
  2. gliese581gg/DQN_tensorflow

About

Simplest Version of playing Atari with Deep Q Learning in Tensorflow

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages