Jul 2026
Physics-Aware End-to-End Deep Reinforcement Learning for Quadcopter Control with Actuator Dynamics
A physics-aware, end-to-end deep reinforcement learning (DRL) approach that acts directly on low-level body inputs, total thrust and body torques, and closes the loop through a high-fidelity Simulink environment is investigated.
Yaohua Shen, W. Chan
· arXiv.org · 0 citations