Dynamic-TD3 models UAV navigation as a constrained Markov decision process, using an adaptive trajectory mechanism and a physically aware Kalman filter to achieve better collision avoidance, lower energy use, and smoother paths than prior methods in dynamic obstacle scenarios.
Improve exploration in deep reinforcement learning for uav path planning using state and action entropy,
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Dynamic-TD3: A Novel Algorithm for UAV Path Planning with Dynamic Obstacle Trajectory Prediction
Dynamic-TD3 models UAV navigation as a constrained Markov decision process, using an adaptive trajectory mechanism and a physically aware Kalman filter to achieve better collision avoidance, lower energy use, and smoother paths than prior methods in dynamic obstacle scenarios.