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Coline Devin Coline Devin I am a senior research scientist at DeepMind. I completed my PhD in 2020 at UC Berkeley, advised by Professors Sergey Levine, Pieter Abbeel and Trevor Darrell, and supported by the NSF Graduate Research Fellowship. I have previously interned at OSARO, Google Brain, and DeepMind. I completed my B.S. in Computer Science at Harvey Mudd College. Google Scholar  /  GitHub  /  Dissertation Talk email: [firstname].[lastname][at]gmail.com Talks 5th Inter-experiment Machine Learning Workshop and EP-IT Data science seminar: Beyond Pick and Place - Tackling Robotic Stacking of Diverse Shapes . 2022 Research and Applied AI Summit: Modularity for Robot Learning . 2019 Research My research is robot learning, with an emphasis on approaches that can show compositionality and generality in tasks, objects, and environments. How to Spend Your Robot Time: Bridging Kickstarting and Offline Reinforcement Learning for V...
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