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title
Aviral Kumar
description
image
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Aviral Kumar
author
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2026-03-02 11:19:32
raw text
Aviral Kumar Aviral Kumar Publications Contact Hello! I am an Assistant Professor in the Computer Science (CSD) and Machine Learning (MLD) departments at Carnegie Mellon University (CMU) . I also spend a part of my time at Google DeepMind. I finished my Ph.D. from UC Berkeley in 2023. I am interested in a number of topics pertaining to reinforcement learning (RL) and decision-making, incluing: scalable and reliable offline (and online) reinforcement learning (RL) algorithms [recent works: stop regressing, ICML 2024 ; scaling offline RL; ICLR 2023 ; value vs policy, arXiv 2024 ; online fine-tuning, NeurIPS 2023 ] intersection of foundation models and reinforcement learning (both on using foundation models for decision making and developing decision-making and RL tools for building better foundation models) [recent works: ArCHer, ICML 2024 ; RL + synthetic data => 8x, arXiv 2024 ; multi-turn RL for iterative improvement, arXiv 2024 , inference-time adaptation ...
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