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Corey Lynch
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2020 – today
- 2023
- [c18]Danny Driess, Fei Xia, Mehdi S. M. Sajjadi, Corey Lynch, Aakanksha Chowdhery, Brian Ichter, Ayzaan Wahid, Jonathan Tompson, Quan Vuong, Tianhe Yu, Wenlong Huang, Yevgen Chebotar, Pierre Sermanet, Daniel Duckworth, Sergey Levine, Vincent Vanhoucke, Karol Hausman, Marc Toussaint, Klaus Greff, Andy Zeng, Igor Mordatch, Pete Florence:
PaLM-E: An Embodied Multimodal Language Model. ICML 2023: 8469-8488 - [c17]Abhishek Gupta, Corey Lynch, Brandon Kinman, Garrett Peake, Sergey Levine, Karol Hausman:
Demonstration-Bootstrapped Autonomous Practicing via Multi-Task Reinforcement Learning. ICRA 2023: 5020-5026 - [c16]Negin Heravi, Ayzaan Wahid, Corey Lynch, Pete Florence, Travis Armstrong, Jonathan Tompson, Pierre Sermanet, Jeannette Bohg
, Debidatta Dwibedi:
Visuomotor Control in Multi-Object Scenes Using Object-Aware Representations. ICRA 2023: 9515-9522 - [c15]David B. D'Ambrosio, Navdeep Jaitly, Vikas Sindhwani, Ken Oslund, Peng Xu, Nevena Lazic, Anish Shankar, Tianli Ding, Jonathan Abelian, Erwin Coumans, Gus Kouretas, Thinh Nguyen, Justin Boyd, Atil Iscen, Reza Mahjourian, Vincent Vanhoucke, Alex Bewley, Yuheng Kuang, Michael Ahn, Deepali Jain, Satoshi Kataoka, Omar E. Cortes, Pierre Sermanet, Corey Lynch, Pannag R. Sanketi, Krzysztof Choromanski, Wenbo Gao, Juhana Kangaspunta, Krista Reymann, Grace Vesom, Sherry Q. Moore, Avi Singh, Saminda Wishwajith Abeyruwan, Laura Graesser:
Robotic Table Tennis: A Case Study into a High Speed Learning System. Robotics: Science and Systems 2023 - [i18]Danny Driess, Fei Xia, Mehdi S. M. Sajjadi, Corey Lynch, Aakanksha Chowdhery, Brian Ichter, Ayzaan Wahid, Jonathan Tompson, Quan Vuong, Tianhe Yu, Wenlong Huang, Yevgen Chebotar, Pierre Sermanet, Daniel Duckworth, Sergey Levine, Vincent Vanhoucke, Karol Hausman, Marc Toussaint, Klaus Greff, Andy Zeng, Igor Mordatch, Pete Florence:
PaLM-E: An Embodied Multimodal Language Model. CoRR abs/2303.03378 (2023) - [i17]David B. D'Ambrosio, Jonathan Abelian, Saminda Abeyruwan, Michael Ahn, Alex Bewley, Justin Boyd, Krzysztof Choromanski, Omar Cortes, Erwin Coumans, Tianli Ding, Wenbo Gao, Laura Graesser, Atil Iscen, Navdeep Jaitly, Deepali Jain, Juhana Kangaspunta, Satoshi Kataoka, Gus Kouretas, Yuheng Kuang, Nevena Lazic, Corey Lynch, Reza Mahjourian, Sherry Q. Moore, Thinh Nguyen, Ken Oslund, Barney J. Reed, Krista Reymann, Pannag R. Sanketi, Anish Shankar, Pierre Sermanet, Vikas Sindhwani, Avi Singh, Vincent Vanhoucke, Grace Vesom, Peng Xu:
Robotic Table Tennis: A Case Study into a High Speed Learning System. CoRR abs/2309.03315 (2023) - 2022
- [c14]Tianli Ding, Laura Graesser, Saminda Abeyruwan, David B. D'Ambrosio, Anish Shankar, Pierre Sermanet, Pannag R. Sanketi, Corey Lynch:
Learning High Speed Precision Table Tennis on a Physical Robot. IROS 2022: 10780-10787 - [i16]Eric Jang, Alex Irpan, Mohi Khansari, Daniel Kappler, Frederik Ebert, Corey Lynch, Sergey Levine, Chelsea Finn:
BC-Z: Zero-Shot Task Generalization with Robotic Imitation Learning. CoRR abs/2202.02005 (2022) - [i15]Abhishek Gupta, Corey Lynch, Brandon Kinman, Garrett Peake, Sergey Levine, Karol Hausman:
Demonstration-Bootstrapped Autonomous Practicing via Multi-Task Reinforcement Learning. CoRR abs/2203.15755 (2022) - [i14]Negin Heravi, Ayzaan Wahid, Corey Lynch, Pete Florence, Travis Armstrong, Jonathan Tompson, Pierre Sermanet, Jeannette Bohg, Debidatta Dwibedi:
Visuomotor Control in Multi-Object Scenes Using Object-Aware Representations. CoRR abs/2205.06333 (2022) - [i13]Tianli Ding, Laura Graesser, Saminda Abeyruwan, David B. D'Ambrosio, Anish Shankar, Pierre Sermanet, Pannag R. Sanketi, Corey Lynch:
GoalsEye: Learning High Speed Precision Table Tennis on a Physical Robot. CoRR abs/2210.03662 (2022) - [i12]Corey Lynch, Ayzaan Wahid, Jonathan Tompson, Tianli Ding, James Betker, Robert Baruch, Travis Armstrong, Pete Florence:
Interactive Language: Talking to Robots in Real Time. CoRR abs/2210.06407 (2022) - 2021
- [c13]Brian Ichter, Pierre Sermanet, Corey Lynch:
Broadly-Exploring, Local-Policy Trees for Long-Horizon Task Planning. CoRL 2021: 59-69 - [c12]Pete Florence, Corey Lynch, Andy Zeng, Oscar A. Ramirez, Ayzaan Wahid, Laura Downs, Adrian Wong, Johnny Lee, Igor Mordatch, Jonathan Tompson:
Implicit Behavioral Cloning. CoRL 2021: 158-168 - [c11]Eric Jang, Alex Irpan, Mohi Khansari, Daniel Kappler, Frederik Ebert, Corey Lynch, Sergey Levine, Chelsea Finn:
BC-Z: Zero-Shot Task Generalization with Robotic Imitation Learning. CoRL 2021: 991-1002 - [c10]Corey Lynch, Pierre Sermanet:
Language Conditioned Imitation Learning Over Unstructured Data. Robotics: Science and Systems 2021 - [i11]Pete Florence, Corey Lynch, Andy Zeng, Oscar Ramirez, Ayzaan Wahid, Laura Downs, Adrian Wong, Johnny Lee, Igor Mordatch, Jonathan Tompson:
Implicit Behavioral Cloning. CoRR abs/2109.00137 (2021) - 2020
- [c9]Sören Pirk, Mohi Khansari, Yunfei Bai, Corey Lynch, Pierre Sermanet:
Online Learning of Object Representations by Appearance Space Feature Alignment. ICRA 2020: 10473-10479 - [i10]Corey Lynch, Pierre Sermanet:
Grounding Language in Play. CoRR abs/2005.07648 (2020) - [i9]Rostam Dinyari, Pierre Sermanet, Corey Lynch:
Learning to Play by Imitating Humans. CoRR abs/2006.06874 (2020) - [i8]Brian Ichter, Pierre Sermanet, Corey Lynch:
Broadly-Exploring, Local-Policy Trees for Long-Horizon Task Planning. CoRR abs/2010.06491 (2020)
2010 – 2019
- 2019
- [c8]Abhishek Gupta, Vikash Kumar, Corey Lynch, Sergey Levine, Karol Hausman:
Relay Policy Learning: Solving Long-Horizon Tasks via Imitation and Reinforcement Learning. CoRL 2019: 1025-1037 - [c7]Corey Lynch, Mohi Khansari, Ted Xiao, Vikash Kumar, Jonathan Tompson, Sergey Levine, Pierre Sermanet:
Learning Latent Plans from Play. CoRL 2019: 1113-1132 - [c6]Sherjil Ozair, Corey Lynch, Yoshua Bengio, Aäron van den Oord, Sergey Levine, Pierre Sermanet:
Wasserstein Dependency Measure for Representation Learning. NeurIPS 2019: 15578-15588 - [i7]Corey Lynch, Mohi Khansari, Ted Xiao, Vikash Kumar, Jonathan Tompson, Sergey Levine, Pierre Sermanet:
Learning Latent Plans from Play. CoRR abs/1903.01973 (2019) - [i6]Sherjil Ozair, Corey Lynch, Yoshua Bengio, Aäron van den Oord, Sergey Levine, Pierre Sermanet:
Wasserstein Dependency Measure for Representation Learning. CoRR abs/1903.11780 (2019) - [i5]Sören Pirk, Mohi Khansari, Yunfei Bai, Corey Lynch, Pierre Sermanet:
Online Object Representations with Contrastive Learning. CoRR abs/1906.04312 (2019) - [i4]Abhishek Gupta, Vikash Kumar, Corey Lynch, Sergey Levine, Karol Hausman:
Relay Policy Learning: Solving Long-Horizon Tasks via Imitation and Reinforcement Learning. CoRR abs/1910.11956 (2019) - 2018
- [c5]Pierre Sermanet, Corey Lynch, Yevgen Chebotar, Jasmine Hsu, Eric Jang, Stefan Schaal, Sergey Levine:
Time-Contrastive Networks: Self-Supervised Learning from Video. ICRA 2018: 1134-1141 - [c4]Debidatta Dwibedi, Jonathan Tompson, Corey Lynch, Pierre Sermanet:
Learning Actionable Representations from Visual Observations. IROS 2018: 1577-1584 - [i3]Debidatta Dwibedi, Jonathan Tompson, Corey Lynch, Pierre Sermanet:
Learning Actionable Representations from Visual Observations. CoRR abs/1808.00928 (2018) - 2017
- [c3]Pierre Sermanet, Corey Lynch, Jasmine Hsu, Sergey Levine:
Time-Contrastive Networks: Self-Supervised Learning from Multi-view Observation. CVPR Workshops 2017: 486-487 - [i2]Pierre Sermanet, Corey Lynch, Jasmine Hsu, Sergey Levine:
Time-Contrastive Networks: Self-Supervised Learning from Multi-View Observation. CoRR abs/1704.06888 (2017) - 2016
- [c2]Corey Lynch, Kamelia Aryafar, Josh Attenberg:
Images Don't Lie: Transferring Deep Visual Semantic Features to Large-Scale Multimodal Learning to Rank. KDD 2016: 541-548 - 2015
- [i1]Corey Lynch, Kamelia Aryafar, Josh Attenberg:
Images Don't Lie: Transferring Deep Visual Semantic Features to Large-Scale Multimodal Learning to Rank. CoRR abs/1511.06746 (2015) - 2014
- [c1]Kamelia Aryafar, Corey Lynch, Josh Attenberg:
Exploring User Behaviour on Etsy through Dominant Colors. ICPR 2014: 1437-1442
Coauthor Index
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