End-to-End and Highly-Efficient Differentiable Simulation for Robotics
End-to-End and Highly-Efficient Differentiable Simulation for Robotics
Over the past few years, robotics simulators have largely improved in efficiency and scalability, enabling them to generate years of simulated data in a few hours. Yet, efficiently and accurately computing the simulation derivatives remains an open challenge, with potentially high gains on the convergence speed of reinforcement learning and …