Curriculum-Based Reinforcement Learning for Quadrupedal Jumping: A
Reference-free Design
Curriculum-Based Reinforcement Learning for Quadrupedal Jumping: A
Reference-free Design
Deep reinforcement learning (DRL) has emerged as a promising solution to mastering explosive and versatile quadrupedal jumping skills. However, current DRL-based frameworks usually rely on well-defined reference trajectories, which are obtained by capturing animal motions or transferring experience from existing controllers. This work explores the possibility of learning dynamic jumping …