Lukas Krauch

Sample-efficient Reinforcement Learning in Robotic Table Tennis

Reinforcement learning (RL) has achieved some impressive recent successes in various computer games and simulations. Most of these successes are based on having large numbers of episodes from which the agent can learn. In typical robotic applications, however, the number of feasible attempts is very…