example-unity
Traing the agent to play the classic Pong game! You can either train it by show it how to play using supervised learning or let it play with itself using reinforcement learning. Read More ›
example-unity
Train a agent to balance a pole above its pivot by applying a torque, with either visual/vector observation. Read More ›
example-unity
Train a agent to go through a basic maze, with either visual/vector observation. Read More ›
example-unity
Training the Unity ml-agent's marathon environment. Read More ›
example-unity
An example of playing the billiard using sampling based method, and how to combine it with supervised learning. Read More ›