We present a framework that enables the discovery of diverse and natural-looking motion strategies for athletic skills such as high jump. The are realized control policies physics-based characters. Given task objective an initial character configuration, combination physics simulation deep reinforcement learning (DRL) provides suitable starting point automatic policy training. To facilitate rea...