A Differentiable Physics Engine for Deep Learning in Robotics

5 Nov 2016Jonas DegraveMichiel HermansJoni DambreFrancis wyffels

An important field in robotics is the optimization of controllers. Currently, robots are often treated as a black box in this optimization process, which is the reason why derivative-free optimization methods such as evolutionary algorithms or reinforcement learning are omnipresent... (read more)

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