Deep Reinforcement Learning (DRL) has achieved significant advancements in legged robot locomotion tasks. However, neural network-based control policies suffer from action fluctuations in complex ...

Humanoid robots have the potential to mimic human motions with high visual fidelity, yet translating these motions into practical physical execution remains a significant challenge. Existing ...