Johannes Heeg

Learning Quadrotor Control from Visual Features Using Differentiable Simulation

The sample inefficiency of reinforcement learning (RL) remains a significant challenge in robotics. RL requires large-scale simulation and can still cause long training times, slowing research and innovation. This issue is particularly pronounced in vision-based control tasks where reliable state es