An imitation-relaxation reinforcement learning framework for four-legged robot locomotion

For legged robots to effectively explore their surroundings and complete missions, they need to be able to move both rapidly and reliably. In recent years, roboticists and computer scientists have created various models for the locomotion of legged robots, many of which are trained using reinforcement learning methods.
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