Lee Kamp Redden,Wentao Yu,Erik Ehn,James Michael Fleming
申请号：
US15927980
公开号：
US20180271015A1
申请日:
2018.03.21
申请国别(地区):
US
年份:
2018
代理人:
摘要：
A combine harvester (combine) includes any number of components to harvest plants as the combine travels through a plant field. The components take actions to harvest plants or facilitate harvesting plants. The combine includes any number of sensors to measure the state of the combine as the combine harvests plants. The combine includes a control system to generate actions for the components to harvest plants in the field. The control system includes an agent executing a model that functions to improve the performance of the combine harvesting plants. Performance improvement can be measured by the sensors of the combine. The model is an artificial neural network that receives measurements as inputs and generates actions that improve performance as outputs. The artificial neural network is trained using actor-critic reinforcement learning techniques.
