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Coline Devin
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2020 – today
- 2023
- [i18]Konstantinos Bousmalis, Giulia Vezzani, Dushyant Rao, Coline Devin, Alex X. Lee, Maria Bauzá, Todor Davchev, Yuxiang Zhou, Agrim Gupta, Akhil Raju, Antoine Laurens, Claudio Fantacci, Valentin Dalibard, Martina Zambelli, Murilo F. Martins, Rugile Pevceviciute, Michiel Blokzijl, Misha Denil, Nathan Batchelor, Thomas Lampe, Emilio Parisotto, Konrad Zolna, Scott E. Reed, Sergio Gómez Colmenarejo, Jon Scholz, Abbas Abdolmaleki, Oliver Groth, Jean-Baptiste Regli, Oleg Sushkov, Thomas Rothörl, Jose Enrique Chen, Yusuf Aytar, Dave Barker, Joy Ortiz, Martin A. Riedmiller, Jost Tobias Springenberg, Raia Hadsell, Francesco Nori, Nicolas Heess:
RoboCat: A Self-Improving Foundation Agent for Robotic Manipulation. CoRR abs/2306.11706 (2023) - [i17]Open X.-Embodiment Collaboration, Abhishek Padalkar, Acorn Pooley, Ajinkya Jain, Alex Bewley, Alexander Herzog, Alex Irpan, Alexander Khazatsky, Anant Raj, Anikait Singh, Anthony Brohan, Antonin Raffin, Ayzaan Wahid, Ben Burgess-Limerick, Beomjoon Kim, Bernhard Schölkopf, Brian Ichter, Cewu Lu, Charles Xu, Chelsea Finn, Chenfeng Xu, Cheng Chi, Chenguang Huang, Christine Chan, Chuer Pan, Chuyuan Fu, Coline Devin, Danny Driess, Deepak Pathak, Dhruv Shah, Dieter Büchler, Dmitry Kalashnikov, Dorsa Sadigh, Edward Johns, Federico Ceola, Fei Xia, Freek Stulp, Gaoyue Zhou, Gaurav S. Sukhatme, Gautam Salhotra, Ge Yan, Giulio Schiavi, Gregory Kahn, Hao Su, Haoshu Fang, Haochen Shi, Heni Ben Amor, Henrik I. Christensen, Hiroki Furuta, Homer Walke, Hongjie Fang, Igor Mordatch, Ilija Radosavovic, et al.:
Open X-Embodiment: Robotic Learning Datasets and RT-X Models. CoRR abs/2310.08864 (2023) - 2022
- [c15]Alex X. Lee, Coline Devin, Jost Tobias Springenberg, Yuxiang Zhou, Thomas Lampe, Abbas Abdolmaleki, Konstantinos Bousmalis:
How to Spend Your Robot Time: Bridging Kickstarting and Offline Reinforcement Learning for Vision-based Robotic Manipulation. IROS 2022: 2468-2475 - [i16]Alex X. Lee, Coline Devin, Jost Tobias Springenberg, Yuxiang Zhou, Thomas Lampe, Abbas Abdolmaleki, Konstantinos Bousmalis:
How to Spend Your Robot Time: Bridging Kickstarting and Offline Reinforcement Learning for Vision-based Robotic Manipulation. CoRR abs/2205.03353 (2022) - 2021
- [c14]Charles Sun, Jedrzej Orbik, Coline Manon Devin, Brian H. Yang, Abhishek Gupta, Glen Berseth, Sergey Levine:
Fully Autonomous Real-World Reinforcement Learning with Applications to Mobile Manipulation. CoRL 2021: 308-319 - [c13]Alex X. Lee, Coline Manon Devin, Yuxiang Zhou, Thomas Lampe, Konstantinos Bousmalis, Jost Tobias Springenberg, Arunkumar Byravan, Abbas Abdolmaleki, Nimrod Gileadi, David Khosid, Claudio Fantacci, Jose Enrique Chen, Akhil Raju, Rae Jeong, Michael Neunert, Antoine Laurens, Stefano Saliceti, Federico Casarini, Martin A. Riedmiller, Raia Hadsell, Francesco Nori:
Beyond Pick-and-Place: Tackling Robotic Stacking of Diverse Shapes. CoRL 2021: 1089-1131 - [c12]Glen Berseth, Daniel Geng, Coline Manon Devin, Nicholas Rhinehart, Chelsea Finn, Dinesh Jayaraman, Sergey Levine:
SMiRL: Surprise Minimizing Reinforcement Learning in Unstable Environments. ICLR 2021 - [c11]Dibya Ghosh, Abhishek Gupta, Ashwin Reddy, Justin Fu, Coline Manon Devin, Benjamin Eysenbach, Sergey Levine:
Learning to Reach Goals via Iterated Supervised Learning. ICLR 2021 - [c10]Rodolfo Corona, Daniel Fried, Coline Devin, Dan Klein, Trevor Darrell:
Modular Networks for Compositional Instruction Following. NAACL-HLT 2021: 1033-1040 - [i15]Charles Sun, Jedrzej Orbik, Coline Devin, Brian H. Yang, Abhishek Gupta, Glen Berseth, Sergey Levine:
ReLMM: Practical RL for Learning Mobile Manipulation Skills Using Only Onboard Sensors. CoRR abs/2107.13545 (2021) - [i14]Alex X. Lee, Coline Devin, Yuxiang Zhou, Thomas Lampe, Konstantinos Bousmalis, Jost Tobias Springenberg, Arunkumar Byravan, Abbas Abdolmaleki, Nimrod Gileadi, David Khosid, Claudio Fantacci, Jose Enrique Chen, Akhil Raju, Rae Jeong, Michael Neunert, Antoine Laurens, Stefano Saliceti, Federico Casarini, Martin A. Riedmiller, Raia Hadsell, Francesco Nori:
Beyond Pick-and-Place: Tackling Robotic Stacking of Diverse Shapes. CoRR abs/2110.06192 (2021) - 2020
- [b1]Coline Devin:
Compositionality and Modularity for Robot Learning. University of California, Berkeley, USA, 2020 - [i13]Coline Devin, Payam Rowghanian, Chris Vigorito, William Richards, Khashayar Rohanimanesh:
Self-Supervised Goal-Conditioned Pick and Place. CoRR abs/2008.11466 (2020) - [i12]Rodolfo Corona, Daniel Fried, Coline Devin, Dan Klein, Trevor Darrell:
Modularity Improves Out-of-Domain Instruction Following. CoRR abs/2010.12764 (2020)
2010 – 2019
- 2019
- [c9]Dequan Wang, Coline Devin, Qi-Zhi Cai, Fisher Yu, Trevor Darrell:
Deep Object-Centric Policies for Autonomous Driving. ICRA 2019: 8853-8859 - [c8]Dequan Wang, Coline Devin, Qi-Zhi Cai, Philipp Krähenbühl, Trevor Darrell:
Monocular Plan View Networks for Autonomous Driving. IROS 2019: 2876-2883 - [c7]Coline Devin, Daniel Geng, Pieter Abbeel, Trevor Darrell, Sergey Levine:
Compositional Plan Vectors. NeurIPS 2019: 14963-14974 - [i11]Dequan Wang, Coline Devin, Qi-Zhi Cai, Philipp Krähenbühl, Trevor Darrell:
Monocular Plan View Networks for Autonomous Driving. CoRR abs/1905.06937 (2019) - [i10]Coline Devin, Daniel Geng, Pieter Abbeel, Trevor Darrell, Sergey Levine:
Plan Arithmetic: Compositional Plan Vectors for Multi-Task Control. CoRR abs/1910.14033 (2019) - [i9]Glen Berseth, Daniel Geng, Coline Devin, Chelsea Finn, Dinesh Jayaraman, Sergey Levine:
SMiRL: Surprise Minimizing RL in Dynamic Environments. CoRR abs/1912.05510 (2019) - [i8]Dibya Ghosh, Abhishek Gupta, Justin Fu, Ashwin Reddy, Coline Devin, Benjamin Eysenbach, Sergey Levine:
Learning To Reach Goals Without Reinforcement Learning. CoRR abs/1912.06088 (2019) - 2018
- [c6]Eric Jang, Coline Devin, Vincent Vanhoucke, Sergey Levine:
Grasp2Vec: Learning Object Representations from Self-Supervised Grasping. CoRL 2018: 99-112 - [c5]Coline Devin, Pieter Abbeel, Trevor Darrell, Sergey Levine:
Deep Object-Centric Representations for Generalizable Robot Learning. ICRA 2018: 7111-7118 - [i7]Dequan Wang, Coline Devin, Qi-Zhi Cai, Fisher Yu, Trevor Darrell:
Deep Object Centric Policies for Autonomous Driving. CoRR abs/1811.05432 (2018) - [i6]Eric Jang, Coline Devin, Vincent Vanhoucke, Sergey Levine:
Grasp2Vec: Learning Object Representations from Self-Supervised Grasping. CoRR abs/1811.06964 (2018) - 2017
- [c4]Abhishek Gupta, Coline Devin, Yuxuan Liu, Pieter Abbeel, Sergey Levine:
Learning Invariant Feature Spaces to Transfer Skills with Reinforcement Learning. ICLR (Poster) 2017 - [c3]Coline Devin, Abhishek Gupta, Trevor Darrell, Pieter Abbeel, Sergey Levine:
Learning modular neural network policies for multi-task and multi-robot transfer. ICRA 2017: 2169-2176 - [i5]Abhishek Gupta, Coline Devin, Yuxuan Liu, Pieter Abbeel, Sergey Levine:
Learning Invariant Feature Spaces to Transfer Skills with Reinforcement Learning. CoRR abs/1703.02949 (2017) - [i4]Coline Devin, Pieter Abbeel, Trevor Darrell, Sergey Levine:
Deep Object-Centric Representations for Generalizable Robot Learning. CoRR abs/1708.04225 (2017) - 2016
- [c2]Eric Tzeng, Coline Devin, Judy Hoffman, Chelsea Finn, Pieter Abbeel, Sergey Levine, Kate Saenko, Trevor Darrell:
Adapting Deep Visuomotor Representations with Weak Pairwise Constraints. WAFR 2016: 688-703 - [i3]Coline Devin, Abhishek Gupta, Trevor Darrell, Pieter Abbeel, Sergey Levine:
Learning Modular Neural Network Policies for Multi-Task and Multi-Robot Transfer. CoRR abs/1609.07088 (2016) - 2015
- [c1]Felix Hill, Kyunghyun Cho, Sébastien Jean, Coline Devin, Yoshua Bengio:
Embedding Word Similarity with Neural Machine Translation. ICLR (Workshop) 2015 - [i2]Eric Tzeng, Coline Devin, Judy Hoffman, Chelsea Finn, Xingchao Peng, Sergey Levine, Kate Saenko, Trevor Darrell:
Towards Adapting Deep Visuomotor Representations from Simulated to Real Environments. CoRR abs/1511.07111 (2015) - 2014
- [i1]Felix Hill, KyungHyun Cho, Sébastien Jean, Coline Devin, Yoshua Bengio:
Not All Neural Embeddings are Born Equal. CoRR abs/1410.0718 (2014)
Coauthor Index
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