Autonomous Drone Racing with Reinforcement Learning

Implemented the Proximal Policy Optimization (PPO) algorithm. Trained the policy in NVIDIA Isaac Lab simulator, with appropriate state space and reward function design and domain randomization. Successfully transferred the policy to real world.