Corey Lynch

According to our database, Corey Lynch authored at least 24 papers between 2014 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Robotic Table Tennis: A Case Study into a High Speed Learning System.

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

CoRR, 2023

Robotic Table Tennis: A Case Study into a High Speed Learning System.

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

Proceedings of the Robotics: Science and Systems XIX, Daegu, 2023

Visuomotor Control in Multi-Object Scenes Using Object-Aware Representations.

Negin Heravi, Ayzaan Wahid, Corey Lynch, Pete Florence, Travis Armstrong, Jonathan Tompson, Pierre Sermanet, Jeannette Bohg, Debidatta Dwibedi

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Demonstration-Bootstrapped Autonomous Practicing via Multi-Task Reinforcement Learning.

Abhishek Gupta, Corey Lynch, Brandon Kinman, Garrett Peake, Sergey Levine, Karol Hausman

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

PaLM-E: An Embodied Multimodal Language Model.

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

Proceedings of the International Conference on Machine Learning, 2023

2022

Interactive Language: Talking to Robots in Real Time.

Corey Lynch, Ayzaan Wahid, Jonathan Tompson, Tianli Ding, James Betker, Robert Baruch, Travis Armstrong, Pete Florence

CoRR, 2022

GoalsEye: Learning High Speed Precision Table Tennis on a Physical Robot.

Tianli Ding, Laura Graesser, Saminda Abeyruwan, David B. D'Ambrosio, Anish Shankar, Pierre Sermanet, Pannag R. Sanketi, Corey Lynch

CoRR, 2022

Learning High Speed Precision Table Tennis on a Physical Robot.

Tianli Ding, Laura Graesser, Saminda Abeyruwan, David B. D'Ambrosio, Anish Shankar, Pierre Sermanet, Pannag R. Sanketi, Corey Lynch

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

2021

Language Conditioned Imitation Learning Over Unstructured Data.

Corey Lynch, Pierre Sermanet

Proceedings of the Robotics: Science and Systems XVII, Virtual Event, July 12-16, 2021., 2021

BC-Z: Zero-Shot Task Generalization with Robotic Imitation Learning.

Eric Jang, Alex Irpan, Mohi Khansari, Daniel Kappler, Frederik Ebert, Corey Lynch, Sergey Levine, Chelsea Finn

Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021

Broadly-Exploring, Local-Policy Trees for Long-Horizon Task Planning.

Brian Ichter, Pierre Sermanet, Corey Lynch

Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021

Implicit Behavioral Cloning.

Pete Florence, Corey Lynch, Andy Zeng, Oscar A. Ramirez, Ayzaan Wahid, Laura Downs, Adrian Wong, Johnny Lee, Igor Mordatch, Jonathan Tompson

Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021

2020

Learning to Play by Imitating Humans.

Rostam Dinyari, Pierre Sermanet, Corey Lynch

CoRR, 2020

Grounding Language in Play.

Corey Lynch, Pierre Sermanet

CoRR, 2020

Online Learning of Object Representations by Appearance Space Feature Alignment.

Sören Pirk, Mohi Khansari, Yunfei Bai, Corey Lynch, Pierre Sermanet

Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

2019

Online Object Representations with Contrastive Learning.

Sören Pirk, Mohi Khansari, Yunfei Bai, Corey Lynch, Pierre Sermanet

CoRR, 2019

Wasserstein Dependency Measure for Representation Learning.

Sherjil Ozair, Corey Lynch, Yoshua Bengio, Aäron van den Oord, Sergey Levine, Pierre Sermanet

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Learning Latent Plans from Play.

Corey Lynch, Mohi Khansari, Ted Xiao, Vikash Kumar, Jonathan Tompson, Sergey Levine, Pierre Sermanet

Proceedings of the 3rd Annual Conference on Robot Learning, 2019

Relay Policy Learning: Solving Long-Horizon Tasks via Imitation and Reinforcement Learning.

Abhishek Gupta, Vikash Kumar, Corey Lynch, Sergey Levine, Karol Hausman

Proceedings of the 3rd Annual Conference on Robot Learning, 2019

2018

Learning Actionable Representations from Visual Observations.

Debidatta Dwibedi, Jonathan Tompson, Corey Lynch, Pierre Sermanet

Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018

Time-Contrastive Networks: Self-Supervised Learning from Video.

Pierre Sermanet, Corey Lynch, Yevgen Chebotar, Jasmine Hsu, Eric Jang, Stefan Schaal, Sergey Levine

Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

2017

Time-Contrastive Networks: Self-Supervised Learning from Multi-view Observation.

Pierre Sermanet, Corey Lynch, Jasmine Hsu, Sergey Levine

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2017

2016

Images Don't Lie: Transferring Deep Visual Semantic Features to Large-Scale Multimodal Learning to Rank.

Corey Lynch, Kamelia Aryafar, Josh Attenberg

Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

2014

Exploring User Behaviour on Etsy through Dominant Colors.

Kamelia Aryafar, Corey Lynch, Josh Attenberg

Proceedings of the 22nd International Conference on Pattern Recognition, 2014