Coline Devin

I am a PhD student in BAIR at UC Berkeley, advised by Professors Sergey Levine, Pieter Abbeel and Trevor Darrell. I graduated in Computer Science from Harvey Mudd College in May 2015, and I have previously interned at Google Brain, Deepmind and MILA. I am supported by the NSF GRFP.

CV  /  Google Scholar  /  GitHub

Research

My research lies at the intersections of deep learning, vision, and robotics. I am interested in representing and incorporating objects into data-driven robot learning, as well as ensuring that learned policies transfer to new tasks and environments.

New! Deep Object Centric Policies for Autonomous Driving
Dequan Wang, Coline Devin, Qi-Zhi Cai, Fisher Yu, Trevor Darrell
In Submission
arxiv

New! Grasp2Vec: Learning Object Representations from Self-Supervised Grasping
Eric Jang*, Coline Devin*, Vincent Vanhoucke, Sergey Levine
* Denotes equal contribution
CoRL 2018
arxiv / webpage

Deep Object-Centric Representations for Generalizable Robot Learning
Coline Devin, Pieter Abbeel, Trevor Darrell, Sergey Levine
ICRA 2018
arxiv / webpage / code

Learning Invariant Feature Spaces to Transfer Skills with Reinforcement Learning
Abhishek Gupta*, Coline Devin*, YuXuan Liu, Pieter Abbeel, Sergey Levine
* Denotes equal contribution
ICLR, 2017
webpage / video

Learning Modular Neural Network Policies for Multi-Task and Multi-Robot Transfer
Coline Devin*, Abhishek Gupta*, Trevor Darrell, Pieter Abbeel, Sergey Levine
* Denotes equal contribution
ICRA, 2017
arxiv / webpage / video

Adapting deep visuomotor representations with weak pairwise constraints
Eric Tzeng*, Coline Devin*, Judy Hoffman, Chelsea Finn, Pieter Abbeel, Sergey Levine, Kate Saenko, Trevor Darrell
WAFR, 2016
arxiv

Embedding word similarity with neural machine translation
Felix Hill, Kyunghyun Cho, Sebastien Jean, Coline Devin, Yoshua Bengio
ICLR workshop, 2015
arxiv

Not all neural embeddings are born equal
Felix Hill, Kyunghyun Cho, Sebastien Jean, Coline Devin, Yoshua Bengio
Learning Semantics Workshop at NIPS, 2014
arxiv


Website templatefrom Jon Barron.
Last updated August 2018.