Leveraging Reward Gradients For Reinforcement Learning in Differentiable Physics Simulations

Sean Gillen, Katie Byl

In recent years, fully differentiable rigid body physics simulators have been developed, which can be used to simulate a wide range of robotic systems. In the context of reinforcem…