Achieving Physically Plausible Quadrupedal Locomotion via Differentiable Simulation

Differentiable simulators enable the use of analytic gradients for optimizing contact-rich robotic tasks, such as quadrupedal locomotion, which can improve sample efficiency over traditional reinforcement learning methods.