Skip to content

Latest commit

 

History

History
10 lines (5 loc) · 457 Bytes

README.md

File metadata and controls

10 lines (5 loc) · 457 Bytes

lunar_lander

Training an agent to land a spaceship via reinforcement learning with a Neural Network and OpenAIGym.

Code will visualize the training process for an agent playing the lunar lander game on OpenAI Gym with a Deep Q-Network. More information on OpenAI Gym and the lunar lander game can be found here: https://www.gymlibrary.ml/environments/box2d/lunar_lander/

Video of training process can be found here: https://youtu.be/WLU5N02nLZo