20 citations · 23 across the 3 of their papers we have counts for
3 papers
cs.AI2021★ 20 cited
Robust Model-based Reinforcement Learning for Autonomous Greenhouse Control
Wanpeng Zhang, Xiaoyan Cao, Yao Yao +3
Due to the high efficiency and less weather dependency, autonomous greenhouses provide an ideal solution to meet the increasing demand for fresh food. However, managers are faced w…
cs.LG2021★ 2 cited
Sample Efficient Reinforcement Learning via Model-Ensemble Exploration and Exploitation
Yao Yao, Li Xiao, Zhicheng An +2
Model-based deep reinforcement learning has achieved success in various domains that require high sample efficiencies, such as Go and robotics. However, there are some remaining is…
cs.AI2021★ 1 cited
IGrow: A Smart Agriculture Solution to Autonomous Greenhouse Control
Xiaoyan Cao, Yao Yao, Lanqing Li +8
Agriculture is the foundation of human civilization. However, the rapid increase of the global population poses a challenge on this cornerstone by demanding more food. Modern auton…