Beomyeol Yu

Modular Reinforcement Learning for a Quadrotor UAV With Decoupled Yaw Control

This letter presents modular reinforcement learning (RL) frameworks for the low-level control of a quadrotor, with direct control of yawing motion. While traditional monolithic RL approaches have been successfully applied to real-world autonomous flight, they often struggle to precisely control both