seragENTp/AirSim-RL

Deep Q learning with AirSim Simulator

This Repository is an Example of using Airsim with Deep Q Learning for Reinforcement learning.

Requirements:

AirSim-1.2.

UnrealEngine-4.18.

Tensorflow.

Using learned weights:

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

Training from scratch:

Use main.py for training from scratch.