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Published in 2025 at "IEEE Robotics and Automation Letters"
DOI: 10.1109/lra.2024.3511412
Abstract: 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…
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Keywords:
learning quadrotor;
control;
quadrotor;
modular reinforcement ... See more keywords