2019
Deep Lagrangian Networks for end-to-end learning of energy-based control for under-actuated systems
IROS 2019poster
Applying Deep Learning to control has a lot of potential for enabling the intelligent design of robot control laws. Unfortunately common deep learning approaches to control, such as deep reinforcement learning, require an unrealistic amount of interaction with the real system, do not yield any perfo…