Abitha Thankaraj

I am a PhD student at the Computer Science Department, Carnegie Mellon University, advised by Yonatan Bisk. I work on representation learning and sequential decision making.

Previously, I worked with Lerrel Pinto at New York University on robotics and machine learning. Before that, I was an associate at Goldman Sachs.

Selected Papers

• Looking beyond the next token
  Abitha Thankaraj*, Yiding Jiang*, J. Zico Kolter, Yonatan Bisk
  Workshop on Long-Context Foundation Models (ICML), 2025
  [arXiv]
• Training a Generally Curious Agent
  Fahim Tajwar*, Yiding Jiang*, Abitha Thankaraj, Sumaita Sadia Rahman, J. Zico Kolter, Jeff Schneider, Ruslan Salakhutdinov
  International Conference on Machine Learning (ICML), 2025 (Oral)
  [arXiv] [code] [website]
• That Sounds Right: Auditory Self-Supervision for Dynamic Robot Manipulation
  Abitha Thankaraj, Lerrel Pinto
  Conference on Robot Learning (CoRL), 2023
  [arXiv] [code] [website]
• Context is Everything: Implicit Identification for Dynamics Adaptation
  Ben Evans, Abitha Thankaraj, Lerrel Pinto
  IEEE International Conference on Robotics and Automation (ICRA), 2022
  [arXiv] [code] [website]