3 papers
cs.LG2025
Trajectory Planning for UAV-Based Smart Farming Using Imitation-Based Triple Deep Q-Learning
Wencan Mao, Quanxi Zhou, Tomas Couso Coddou +3
Unmanned aerial vehicles (UAVs) have emerged as a promising auxiliary platform for smart agriculture, capable of simultaneously performing weed detection, recognition, and data col…
cs.LG2025
EIA-SEC: Improved Actor-Critic Framework for Multi-UAV Collaborative Control in Smart Agriculture
Quanxi Zhou, Wencan Mao, Yilei Liang +3
The widespread application of wireless communication technology has promoted the development of smart agriculture, where unmanned aerial vehicles (UAVs) play a multifunctional role…
cs.LG2025
FM-EAC: Feature Model-based Enhanced Actor-Critic for Multi-Task Control in Dynamic Environments
Quanxi Zhou, Wencan Mao, Manabu Tsukada +2
Model-based reinforcement learning (MBRL) and model-free reinforcement learning (MFRL) evolve along distinct paths but converge in the design of Dyna-Q [1]. However, modern RL meth…