Skip to content

Minimal Deep Q Learning (DQN & DDQN) implementations in Keras

License

Notifications You must be signed in to change notification settings

AMairesse/deep-q-learning

 
 

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

50 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

deep-q-learning

Introduction to Making a Simple Game AI with Deep Reinforcement Learning

animation

Minimal and Simple Deep Q Learning Implemenation in Keras and Gym. Under 100 lines of code!

The explanation for the dqn.py code is covered in the blog article https://keon.io/deep-q-learning/

I made minor tweaks to this repository such as load and save functions for convenience.

I also made the memory a deque instead of just a list. This is in order to limit the maximum number of elements in the memory.

The training might be unstable for dqn.py. This problem is mitigated in ddqn.py. I'll cover ddqn in the next article.

About

Minimal Deep Q Learning (DQN & DDQN) implementations in Keras

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages

  • Python 100.0%