Daniel Garces

I am a fifth-year Computer Science PhD student working under the guidance of Professor Stephanie Gil. I am interested in the development of model-based multi-agent reinforcement learning algorithms for task allocation problems, where we can leverage predictive models to handle the uncertainty in the environment. Before joining REACT lab, I worked with Intel as a machine learning intern. I received my BS in Computer Engineering from Columbia University in 2021.