Google's DeepMind Teaches AI to Navigate a Parkour Course - ExtremeTech

The team used simulations in a complex world filled with obstacles, but the goal for the AI was simple: Make it as far as possible as fast as possible. The parkour course contained walls, cliffs, hurdles, and tilting floors. The "reward" for the AI drove the simulations to discover new ways to traverse the terrain, and none of the movements were provided programmatically -- this is all emergent behavior. For example, the AI tried many times to learn how to jump over a wall in search of a greater simulated reward. When it finally figured that out, the same movement was adapted by the AI to jump over all the walls.