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 ›
Calamachine Union! An actual game that uses reinforcement learning. The gameplay is to design and train your agent to play a platformer game! Read More ›
A copy of the Unity ML-Agents' Banana Collector environment. The agents are trained to collect bananas, shoot at each other and avoid the bad bananas. Discrete action branching is used in this example. Read More ›
A basic example where the AI is trained to balance a ball on a plate using both PPO and Neural Evolution Algorithm. The environment is a copy of the Unity ML-Agents' 3DBall environment. Read More ›
Teaser. We can right the short description of the example here. It is shown below the title in the post and in the short description of the list of posts page. Read More ›
Teaser. We can right the short description of the example here. It is shown below the title in the post and in the short description of the list of posts page. Read More ›
Teaser. We can right the short description of the example here. It is shown below the title in the post and in the short description of the list of posts page. Read More ›