One of the exciting characteristics of this innovative approach by the OpenAI team is that these agents’ training and simulation are based on a mixed competitive and cooperative physics-based environment through a simple game. Based on a simple visibility-based reward function and competition, agents learn and develop emergent skills and learn to create and use new tools to respond and interact with the environment.
In the environment developed by OpenAI, agents play a team-based hide and seek game. Hiders try to avoid the seekers’ line of sight, and the seekers aim to catch the hiders. The scene has boundaries that the agents should not cross, and in the scene, there are several objects that the agents can interact with. There are also random obstacles that agents cannot move or modify.