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Found 3 papers, 2 papers with code
Learning Control Policies of Hodgkin-Huxley Neuronal Dynamics
In this setting, control policies aim to optimize therapeutic outcomes by tailoring the parameters of a DBS system, typically via electrical stimulation, in real time based on the patient's ongoing neuronal activity.
A SWAT-based Reinforcement Learning Framework for Crop Management
Crop management involves a series of critical, interdependent decisions or actions in a complex and highly uncertain environment, which exhibit distinct spatial and temporal variations.
Forecasting Soil Moisture Using Domain Inspired Temporal Graph Convolution Neural Networks To Guide Sustainable Crop Management
The trained models are being deployed on small-holding farms in central Texas.
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