Michiel Panne

Learning Locomotion Skills for Cassie: Iterative Design and Sim-to-Real

Deep reinforcement learning (DRL) is a promising approach for developing legged locomotion skills. However, current work commonly describes DRL as being a one-shot process, where the state, action and reward are assumed to be well defined and are directly used by an RL algorithm to obtain policies.