Skip to content

Latest commit

 

History

History
10 lines (7 loc) · 482 Bytes

README.md

File metadata and controls

10 lines (7 loc) · 482 Bytes

LunarLander-DQN

Mini project where I had to implement a solution of the Lunar Lander DQN problem !

The Lunar lander is a classic beginner problem of Deep-Q networks. Here the environement is simulated with Gym and the DQN is made with Tensorflow and Keras. You'll find here my code. It has comments in French.

Expect like 300 ~ 400 episodes for the Agent (the DQN) to be good.

Link to the Google Colab: https://colab.research.google.com/drive/1hV2j0GioumeIuJaHdn_3sol-7gZes0_3