Stetter, Christian <br/><br/>
Agricultural land use modeling and climate change adaptation: A reinforcement learning approach 

 -  Applied Economic Perspectives and Policy  2024 
 - 1379-1405 
<br/><br/> This paper provides a novel approach to integrate farmers' behavior in spatially explicit agricultural land use modeling to investigate climate change adaptation strategies. More specifically, we develop and apply a computationally efficient machine learn 
<br/><br/><label>ISSN: </label>2040-5804 
<br/><br/><label>Subjects--Topical Terms: </label><br/> Agroforestry<br/> Climate Change Adaptation<br/> Land Use Modeling<br/> Reinforcement Learning<br/>Machine Learning