University of Washington
Aravind Rajeswaran is a PhD student at the University of Washington with Profs. Sham Kakade and Emo Todorov. He is interested in the mathematical foundations and applications of deep learning for prediction and decision making.
Aravind is currently focusing on enabling robots to autonomously and efficiently acquire a vast repertoire of skills. This requires leveraging prior related experience to generalize and transfer skills, as well as efficient targeted optimization to invent new skills when necessary. Thus, Aravind draws upon reinforcement learning, model-based control, meta learning, and robotic simulators.
Aravind has received a best thesis award for his undergraduate research work at IIT Madras in 2015 and a best paper award from SIMPAR 2018.
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