example-unity

Pong

Blog of Feeling Responsive 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

Pole

Blog of Feeling Responsive Train a agent to balance a pole above its pivot by applying a torque, with either visual/vector observation. Read More ›

example-unity

Maze

Blog of Feeling Responsive Train a agent to go through a basic maze, with either visual/vector observation. Read More ›

example-unity

Marathon Environment from Unity ML-Agents

Blog of Feeling Responsive Training the Unity ml-agent's marathon environment. Read More ›

example-unity

Intelligent Pool

Blog of Feeling Responsive An example of playing the billiard using sampling based method, and how to combine it with supervised learning. Read More ›