Reinforcement Learning for Drone Racing
My colleague and I developed two different approaches for a drone racing challenge, where the drone needs to go through the gates and avoid obstacles. He focused on automatic and smart ways to generate a drone trajectory, where I tried to improve the performance under unknown dynamics or noise using a shared control approach. I trained an RL agent using the progress reward for path planning and used the convex combination of the precalculated trajectory and RL agent.
