Corey Lynch

Publication Activity (10 Years)

Years Active: 2014-2023
Publications (10 Years): 34

Top Topics

Eligibility Traces

Object Representations

Reinforcement Learning

Top Venues

Publications

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)
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 (2023)
Abhishek Gupta, Corey Lynch, Brandon Kinman, Garrett Peake, Sergey Levine, Karol Hausman
Demonstration-Bootstrapped Autonomous Practicing via Multi-Task Reinforcement Learning. ICRA (2023)
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 (2023)
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)
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)
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 (2022)
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 (2022)
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 (2022)
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)
Abhishek Gupta, Corey Lynch, Brandon Kinman, Garrett Peake, Sergey Levine, Karol Hausman
Demonstration-Bootstrapped Autonomous Practicing via Multi-Task Reinforcement Learning. CoRR (2022)
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 (2022)
Pete Florence, Corey Lynch, Andy Zeng, Oscar Ramirez, Ayzaan Wahid, Laura Downs, Adrian Wong, Johnny Lee, Igor Mordatch, Jonathan Tompson
Implicit Behavioral Cloning. CoRR (2021)
Brian Ichter, Pierre Sermanet, Corey Lynch
Broadly-Exploring, Local-Policy Trees for Long-Horizon Task Planning. CoRL (2021)
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)
Corey Lynch, Pierre Sermanet
Language Conditioned Imitation Learning Over Unstructured Data. Robotics: Science and Systems (2021)
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)
Corey Lynch, Pierre Sermanet
Grounding Language in Play. CoRR (2020)
Sören Pirk, Mohi Khansari, Yunfei Bai, Corey Lynch, Pierre Sermanet
Online Learning of Object Representations by Appearance Space Feature Alignment. ICRA (2020)
Rostam Dinyari, Pierre Sermanet, Corey Lynch
Learning to Play by Imitating Humans. CoRR (2020)
Brian Ichter, Pierre Sermanet, Corey Lynch
Broadly-Exploring, Local-Policy Trees for Long-Horizon Task Planning. CoRR (2020)
Sören Pirk, Mohi Khansari, Yunfei Bai, Corey Lynch, Pierre Sermanet
Online Object Representations with Contrastive Learning. CoRR (2019)
Abhishek Gupta, Vikash Kumar, Corey Lynch, Sergey Levine, Karol Hausman
Relay Policy Learning: Solving Long-Horizon Tasks via Imitation and Reinforcement Learning. CoRR (2019)
Sherjil Ozair, Corey Lynch, Yoshua Bengio, Aäron van den Oord, Sergey Levine, Pierre Sermanet
Wasserstein Dependency Measure for Representation Learning. NeurIPS (2019)
Sherjil Ozair, Corey Lynch, Yoshua Bengio, Aäron van den Oord, Sergey Levine, Pierre Sermanet
Wasserstein Dependency Measure for Representation Learning. CoRR (2019)
Abhishek Gupta, Vikash Kumar, Corey Lynch, Sergey Levine, Karol Hausman
Relay Policy Learning: Solving Long-Horizon Tasks via Imitation and Reinforcement Learning. CoRL (2019)
Corey Lynch, Mohi Khansari, Ted Xiao, Vikash Kumar, Jonathan Tompson, Sergey Levine, Pierre Sermanet
Learning Latent Plans from Play. CoRR (2019)
Corey Lynch, Mohi Khansari, Ted Xiao, Vikash Kumar, Jonathan Tompson, Sergey Levine, Pierre Sermanet
Learning Latent Plans from Play. CoRL (2019)
Debidatta Dwibedi, Jonathan Tompson, Corey Lynch, Pierre Sermanet
Learning Actionable Representations from Visual Observations. CoRR (2018)
Debidatta Dwibedi, Jonathan Tompson, Corey Lynch, Pierre Sermanet
Learning Actionable Representations from Visual Observations. IROS (2018)
Pierre Sermanet, Corey Lynch, Yevgen Chebotar, Jasmine Hsu, Eric Jang, Stefan Schaal, Sergey Levine
Time-Contrastive Networks: Self-Supervised Learning from Video. ICRA (2018)
Pierre Sermanet, Corey Lynch, Jasmine Hsu, Sergey Levine
Time-Contrastive Networks: Self-Supervised Learning from Multi-view Observation. CVPR Workshops (2017)
Pierre Sermanet, Corey Lynch, Jasmine Hsu, Sergey Levine
Time-Contrastive Networks: Self-Supervised Learning from Multi-View Observation. CoRR (2017)
Corey Lynch, Kamelia Aryafar, Josh Attenberg
Images Don't Lie: Transferring Deep Visual Semantic Features to Large-Scale Multimodal Learning to Rank. KDD (2016)
Corey Lynch, Kamelia Aryafar, Josh Attenberg
Images Don't Lie: Transferring Deep Visual Semantic Features to Large-Scale Multimodal Learning to Rank. CoRR (2015)
Kamelia Aryafar, Corey Lynch, Josh Attenberg
Exploring User Behaviour on Etsy through Dominant Colors. ICPR (2014)