SEE HOW THIS AI LEARNT TO PLAY HIDE AND SEEK!
Researcher at Open AI recently taught a group of AI agents to play Hide And Seek with the main intention to figure out how the agents learn from competition. No prior instructions were given to the agents . As expected, the agents moved randomly for the initial iterations of the game.
However, after hundreds of millions of games, they learned to manipulate their environment to give themselves an advantage. The hiders, for example, learned to build miniature forts and barricade themselves inside; the seekers, in response, learned how to use ramps to scale the walls and find the hiders.
These actions showed how AI agents could learn to use things around them as tools. That’s important not because AI needs to be better at hiding and seeking, but because it suggests a way to build AI systems that can solve open-ended, real-world problems.