Deep reinforcement learning has solved the game of Go, along with all other board games. Can it also be applied to real-world use cases? This research combines a literature study and experimental...Show moreDeep reinforcement learning has solved the game of Go, along with all other board games. Can it also be applied to real-world use cases? This research combines a literature study and experimental evaluation, focusing on the case of automation for tele-operated robotics. This is necessary because tele-operation of robots is slow and cumbersome. Classical robotics solutions are expensive, and limited in precision, but deep reinforcement learning provides an opportunity for learning visuomotor skills using partial information.Show less