Deep Q learning with AirSim Simulator
This Repository is an Example of using Airsim with Deep Q Learning for Reinforcement learning.
AirSim-1.2.
UnrealEngine-4.18.
Tensorflow.
Use main-deploy.py for testing the Agent. The agent tries to find a fixed goal (white cone) from a fixed staring point.
you need first to download the custom airsim blocks environment from here :
https://drive.google.com/open?id=1aBkrsqiG1t4KJbSlHjhvoowYPVWOKfB6
Use main.py for training from scratch.