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Coline Devin
Coline Devin
DeepMind
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Title
Cited by
Cited by
Year
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
4002017
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
3042017
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
161*2015
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
1322019
Grasp2vec: Learning object representations from self-supervised grasping
E Jang, C Devin, V Vanhoucke, S Levine
arXiv preprint arXiv:1811.06964, 2018
1212018
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
1152019
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
1052015
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
972018
Beyond pick-and-place: Tackling robotic stacking of diverse shapes
AX Lee, CM Devin, Y Zhou, T Lampe, K Bousmalis, JT Springenberg, ...
5th Annual Conference on Robot Learning, 2021
742021
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
702019
Embedding word similarity with neural machine translation
F Hill, K Cho, S Jean, C Devin, Y Bengio
arXiv preprint arXiv:1412.6448, 2014
692014
Not all neural embeddings are born equal
F Hill, KH Cho, S Jean, C Devin, Y Bengio
arXiv preprint arXiv:1410.0718, 2014
542014
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
432019
Open x-embodiment: Robotic learning datasets and rt-x models
A Padalkar, A Pooley, A Jain, A Bewley, A Herzog, A Irpan, A Khazatsky, ...
arXiv preprint arXiv:2310.08864, 2023
402023
Modular networks for compositional instruction following
R Corona, D Fried, C Devin, D Klein, T Darrell
arXiv preprint arXiv:2010.12764, 2020
302020
Fully autonomous real-world reinforcement learning with applications to mobile manipulation
C Sun, J Orbik, CM Devin, BH Yang, A Gupta, G Berseth, S Levine
Conference on Robot Learning, 308-319, 2022
282022
Learning to reach goals without reinforcement learning
D Ghosh, A Gupta, J Fu, A Reddy, C Devin, B Eysenbach, S Levine
262019
RoboCat: A Self-Improving Foundation Agent for Robotic Manipulation
K Bousmalis, G Vezzani, D Rao, C Devin, AX Lee, M Bauza, T Davchev, ...
arXiv preprint arXiv:2306.11706, 2023
252023
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
25*2019
SMiRL: Surprise minimizing RL in dynamic environments
G Berseth, D Geng, C Devin, C Finn, D Jayaraman, S Levine
arXiv preprint arXiv:1912.05510, 2019
202019
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