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Toby Kreiman I'm a PhD student at UC Berkeley at UC Berkeley where I am advised by Aditi Krishnapriyan. I studied Physics and Computer Science at Columbia University during my undergraduate degree, where I was fortunate to be advised by Matei Ciocarlie. I am interested in the intersection of Physics and Machine Learning. I am currently working on developing physics-inspired machine learning algorithms for molecular dynamics. I'm also interested in Reinforcement Learning; I have done previous work on developing algorithms for co-design of hardware and policy for robotic manipulation. |
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Research
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Foundation Policies with Hilbert Representations
Seohong Park, Tobias Kreiman Sergey Levine, Preprint, 2024 project page / code / arXiv |
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Octo: An Open-Source Generalist Robot Policy
Dibya Ghosh*, Homer Walke*, Karl Pertsch*, Kevin Black*, Oier Mees*, Sudeep Dasari, Joey Hejna, Charles Xu, Jianlan Luo, Tobias Kreiman You Liang Tan, Dorsa Sadigh, Chelsea Finn, Sergey Levine, Technical Report, 2023 project page / code / arXiv |
Education |
University of California, Berkeley (Aug 2023 - Present)
Ph.D. student in Computer Science Columbia University (Aug 2019 - May 2023)
B.A. in Computer Science and Physics |
Work Experience |
Google (Jun 2022 - Aug 2022)
Machine Learning Engineer for Youtube Autoplay. Meta (Jun 2021 - Aug 2021)
Machine Learning Engineer on podcast recommendation team. Supportiv (Jun 2020 - Aug 2020)
Machine Learning Engineer. |
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