Aviral Kumar

• Year

  2024

• Program

  AI2050

• Institution

  Carnegie Mellon University

• Location

  USA

Aviral Kumar is an Assistant Professor of CS and ML and CMU His research focuses on reinforcement learning and decision-making, in particular on offline reinforcement learning, scaling up reinforcement learning, and more recently on the intersection of reinforcement learning and foundation models. He finished his PhD from UC Berkeley in September 2023, where he was awarded the CV Ramamoorthy Distinguished Research Award, given to 1 student at UC Berkeley for outstanding contributions to a new research area in CS, Apple PhD fellowship, and a Facebook PhD fellowship. Aviral was also named as a semi-finalist (top 100) for MIT Technology’s Review 35 innovators under 35 in 2023. His research was recognized by a Samsung AI Researcher of the Year Award in 2024. He previously completed his undergraduate at IIT Bombay in India, during which he worked with Geoffrey Hinton on reinforcement learning.