High Acceleration Reinforcement Learning for Real-World Juggling with Binary Rewards

Kai Ploeger, Michael Lutter, Jan Peters

Robots that can learn in the physical world will be important to en-able robots to escape their stiff and pre-programmed movements. For dynamic high-acceleration tasks, such as jug…