2019
End-to-end sensorimotor control problems of AUVs with deep reinforcement learning
IROS 2019poster
This paper studies on sensorimotor control problems of Autonomous Underwater Vehicles (AUVs) using deep reinforcement learning. We design an end-to-end learning architecture mapping original sensor input to continuous control output without referring to the dynamics of vehicles. To avoid difficult a…