Coline Devin
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Learning modular neural network policies for multi-task and multi-robot transfer
C Devin, A Gupta, T Darrell, P Abbeel, S Levine
2017 IEEE international conference on robotics and automation (ICRA), 2169-2176, 2017
2252017
Learning invariant feature spaces to transfer skills with reinforcement learning
A Gupta, C Devin, YX Liu, P Abbeel, S Levine
arXiv preprint arXiv:1703.02949, 2017
1682017
Adapting deep visuomotor representations with weak pairwise constraints
E Tzeng, C Devin, J Hoffman, C Finn, P Abbeel, S Levine, K Saenko, ...
arXiv preprint arXiv:1511.07111, 2015
872015
Towards adapting deep visuomotor representations from simulated to real environments
E Tzeng, C Devin, J Hoffman, C Finn, X Peng, S Levine, K Saenko, ...
arXiv preprint arXiv:1511.07111 2 (3), 2015
862015
Grasp2vec: Learning object representations from self-supervised grasping
E Jang, C Devin, V Vanhoucke, S Levine
arXiv preprint arXiv:1811.06964, 2018
682018
Deep object-centric policies for autonomous driving
D Wang, C Devin, QZ Cai, F Yu, T Darrell
2019 International Conference on Robotics and Automation (ICRA), 8853-8859, 2019
552019
Not all neural embeddings are born equal
F Hill, KH Cho, S Jean, C Devin, Y Bengio
arXiv preprint arXiv:1410.0718, 2014
532014
Embedding word similarity with neural machine translation
F Hill, K Cho, S Jean, C Devin, Y Bengio
arXiv preprint arXiv:1412.6448, 2014
482014
Deep object-centric representations for generalizable robot learning
C Devin, P Abbeel, T Darrell, S Levine
2018 IEEE International Conference on Robotics and Automation (ICRA), 7111-7118, 2018
472018
Monocular plan view networks for autonomous driving
D Wang, C Devin, QZ Cai, P Krähenbühl, T Darrell
2019 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2019
292019
Learning to reach goals without reinforcement learning
D Ghosh, A Gupta, J Fu, A Reddy, C Devin, B Eysenbach, S Levine
162019
SMiRL: Surprise minimizing RL in dynamic environments
G Berseth, D Geng, C Devin, N Rhinehart, C Finn, D Jayaraman, S Levine
8*2020
Plan Arithmetic: Compositional Plan Vectors for Multi-Task Control
C Devin, D Geng, P Abbeel, T Darrell, S Levine
Advances in Neural Information Processing Systems, 14989-15000, 2019
5*2019
Modularity improves out-of-domain instruction following
R Corona, D Fried, C Devin, D Klein, T Darrell
arXiv e-prints, arXiv: 2010.12764, 2020
42020
Learning to reach goals via iterated supervised learning
D Ghosh, A Gupta, A Reddy, J Fu, C Devin, B Eysenbach, S Levine
arXiv preprint arXiv:1912.06088, 2019
42019
Self-Supervised Goal-Conditioned Pick and Place
C Devin, P Rowghanian, C Vigorito, W Richards, K Rohanimanesh
arXiv preprint arXiv:2008.11466, 2020
22020
SMiRL: Surprise Minimizing Reinforcement Learning in Dynamic Environments
G Berseth, D Geng, C Devin, N Rhinehart, C Finn, D Jayaraman, S Levine
arXiv e-prints, arXiv: 1912.05510, 2019
22019
SMiRL: Surprise Minimizing Reinforcement Learning in Unstable Environments
G Berseth, D Geng, C Devin, N Rhinehart, C Finn, D Jayaraman, S Levine
arXiv preprint arXiv:1912.05510, 2019
12019
Modular Networks for Compositional Instruction Following
R Corona, D Fried, C Devin, D Klein, T Darrell
arXiv preprint arXiv:2010.12764, 2020
2020
Self-supervised robotic object interaction
EV Jang, SV Levine, CM Devin
US Patent 10,635,944, 2020
2020
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