Soccer players can tackle, get up, kick and chase a ball in one seamless motion. How could robots master these agile motor skills?

We investigated the application of Deep Reinforcement Learning (Deep RL) for low-cost, miniature humanoid hardware in a dynamic environment, showing the method can synthesize sophisticated and safe movement skills making up complex behavioral strategies in a simplified one-versus-one (1v1) soccer game.  Read More