Prior-Knowledge-Guided Reinforcement Learning for Musculoskeletal Locomotion
Reinforcement learning (RL) has achieved notable success in locomotion of robotic systems, yet remains challenged by high-dimensional and overactuated musculoskeletal systems. In this work, we propose a synergy-guided RL framework that incorporates biologically inspired priors extracted from pre-trained locomotion poli...