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What is Reinforcement Learning For UAV Attitude Control: William Koch, Renato Mancuso, Richard West, and Azer Bestavros about?
This document summarizes research into using reinforcement learning for attitude control of unmanned aerial vehicles. It discusses how proportional-integral-derivative (PID) control is commonly used but has limitations in unpredictable environments. The researchers developed a high-fidelity simulation to train reinforcement learning algorithms like Deep Deterministic Policy Gradient, Trust Region Policy Optimization, and Proximal Policy Optimization for attitude control of a quadcopter. They compare the per
- Author
- Segma Beta
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- EN