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cs.LG2024★ 1 cited
Intelligent Agricultural Management Considering NO Emission and Climate Variability with Uncertainties
Zhaoan Wang, Shaoping Xiao, Jun Wang +2
This study examines how artificial intelligence (AI), especially Reinforcement Learning (RL), can be used in farming to boost crop yields, fine-tune nitrogen use and watering, and…
cs.LG2021
Intelligent Traffic Light via Policy-based Deep Reinforcement Learning
Yue Zhu, Mingyu Cai, Chris Schwarz +2
Intelligent traffic lights in smart cities can optimally reduce traffic congestion. In this study, we employ reinforcement learning to train the control agent of a traffic light on…