Corey Lynch

36 papers A* 7A 2B 1Misc 5Journal 18Unranked 3
YearRankTypeTitle / Venue / Authors
2023 A* conf
Demonstration-Bootstrapped Autonomous Practicing via Multi-Task Reinforcement Learning.
ICRA
Abhishek Gupta, Corey Lynch, Brandon Kinman, Garrett Peake, Sergey Levine, Karol Hausman
2023 A* conf
PaLM-E: An Embodied Multimodal Language Model.
ICML
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
2023 J jnl
PaLM-E: An Embodied Multimodal Language Model.
CoRR
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
2023 — conf
Robotic Table Tennis: A Case Study into a High Speed Learning System.
Robotics: Science and Systems
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
2023 J jnl
Robotic Table Tennis: A Case Study into a High Speed Learning System.
CoRR
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
2023 A* conf
Visuomotor Control in Multi-Object Scenes Using Object-Aware Representations.
ICRA
Negin Heravi, Ayzaan Wahid, Corey Lynch, Pete Florence, Travis Armstrong, Jonathan Tompson, Pierre Sermanet, Jeannette Bohg, Debidatta Dwibedi
2022 J jnl
BC-Z: Zero-Shot Task Generalization with Robotic Imitation Learning.
CoRR
Eric Jang, Alex Irpan, Mohi Khansari, Daniel Kappler, Frederik Ebert, Corey Lynch, Sergey Levine, Chelsea Finn
2022 J jnl
Demonstration-Bootstrapped Autonomous Practicing via Multi-Task Reinforcement Learning.
CoRR
Abhishek Gupta, Corey Lynch, Brandon Kinman, Garrett Peake, Sergey Levine, Karol Hausman
2022 J jnl
GoalsEye: Learning High Speed Precision Table Tennis on a Physical Robot.
CoRR
Tianli Ding, Laura Graesser, Saminda Abeyruwan, David B. D'Ambrosio, Anish Shankar, Pierre Sermanet, Pannag R. Sanketi, Corey Lynch
2022 J jnl
Interactive Language: Talking to Robots in Real Time.
CoRR
Corey Lynch, Ayzaan Wahid, Jonathan Tompson, Tianli Ding, James Betker, Robert Baruch, Travis Armstrong, Pete Florence
2022 A conf
Learning High Speed Precision Table Tennis on a Physical Robot.
IROS
Tianli Ding, Laura Graesser, Saminda Abeyruwan, David B. D'Ambrosio, Anish Shankar, Pierre Sermanet, Pannag R. Sanketi, Corey Lynch
2022 J jnl
Visuomotor Control in Multi-Object Scenes Using Object-Aware Representations.
CoRR
Negin Heravi, Ayzaan Wahid, Corey Lynch, Pete Florence, Travis Armstrong, Jonathan Tompson, Pierre Sermanet, Jeannette Bohg, Debidatta Dwibedi
2021 Misc conf
BC-Z: Zero-Shot Task Generalization with Robotic Imitation Learning.
CoRL
Eric Jang, Alex Irpan, Mohi Khansari, Daniel Kappler, Frederik Ebert, Corey Lynch, Sergey Levine, Chelsea Finn
2021 Misc conf
Broadly-Exploring, Local-Policy Trees for Long-Horizon Task Planning.
CoRL
Brian Ichter, Pierre Sermanet, Corey Lynch
2021 Misc conf
Implicit Behavioral Cloning.
CoRL
Pete Florence, Corey Lynch, Andy Zeng, Oscar A. Ramirez, Ayzaan Wahid, Laura Downs, Adrian Wong, Johnny Lee, Igor Mordatch, Jonathan Tompson
2021 J jnl
Implicit Behavioral Cloning.
CoRR
Pete Florence, Corey Lynch, Andy Zeng, Oscar Ramirez, Ayzaan Wahid, Laura Downs, Adrian Wong, Johnny Lee, Igor Mordatch, Jonathan Tompson
2021 — conf
Language Conditioned Imitation Learning Over Unstructured Data.
Robotics: Science and Systems
Corey Lynch, Pierre Sermanet
2020 J jnl
Broadly-Exploring, Local-Policy Trees for Long-Horizon Task Planning.
CoRR
Brian Ichter, Pierre Sermanet, Corey Lynch
2020 J jnl
Grounding Language in Play.
CoRR
Corey Lynch, Pierre Sermanet
2020 J jnl
Learning to Play by Imitating Humans.
CoRR
Rostam Dinyari, Pierre Sermanet, Corey Lynch
2020 A* conf
Online Learning of Object Representations by Appearance Space Feature Alignment.
ICRA
Sören Pirk, Mohi Khansari, Yunfei Bai, Corey Lynch, Pierre Sermanet
2019 Misc conf
Learning Latent Plans from Play.
CoRL
Corey Lynch, Mohi Khansari, Ted Xiao, Vikash Kumar, Jonathan Tompson, Sergey Levine, Pierre Sermanet
2019 J jnl
Learning Latent Plans from Play.
CoRR
Corey Lynch, Mohi Khansari, Ted Xiao, Vikash Kumar, Jonathan Tompson, Sergey Levine, Pierre Sermanet
2019 J jnl
Online Object Representations with Contrastive Learning.
CoRR
Sören Pirk, Mohi Khansari, Yunfei Bai, Corey Lynch, Pierre Sermanet
2019 Misc conf
Relay Policy Learning: Solving Long-Horizon Tasks via Imitation and Reinforcement Learning.
CoRL
Abhishek Gupta, Vikash Kumar, Corey Lynch, Sergey Levine, Karol Hausman
2019 J jnl
Relay Policy Learning: Solving Long-Horizon Tasks via Imitation and Reinforcement Learning.
CoRR
Abhishek Gupta, Vikash Kumar, Corey Lynch, Sergey Levine, Karol Hausman
2019 A* conf
Wasserstein Dependency Measure for Representation Learning.
NeurIPS
Sherjil Ozair, Corey Lynch, Yoshua Bengio, Aäron van den Oord, Sergey Levine, Pierre Sermanet
2019 J jnl
Wasserstein Dependency Measure for Representation Learning.
CoRR
Sherjil Ozair, Corey Lynch, Yoshua Bengio, Aäron van den Oord, Sergey Levine, Pierre Sermanet
2018 A conf
Learning Actionable Representations from Visual Observations.
IROS
Debidatta Dwibedi, Jonathan Tompson, Corey Lynch, Pierre Sermanet
2018 J jnl
Learning Actionable Representations from Visual Observations.
CoRR
Debidatta Dwibedi, Jonathan Tompson, Corey Lynch, Pierre Sermanet
2018 A* conf
Time-Contrastive Networks: Self-Supervised Learning from Video.
ICRA
Pierre Sermanet, Corey Lynch, Yevgen Chebotar, Jasmine Hsu, Eric Jang, Stefan Schaal, Sergey Levine
2017 J jnl
Time-Contrastive Networks: Self-Supervised Learning from Multi-View Observation.
CoRR
Pierre Sermanet, Corey Lynch, Jasmine Hsu, Sergey Levine
2017 — conf
Time-Contrastive Networks: Self-Supervised Learning from Multi-view Observation.
CVPR Workshops
Pierre Sermanet, Corey Lynch, Jasmine Hsu, Sergey Levine
2016 A* conf
Images Don't Lie: Transferring Deep Visual Semantic Features to Large-Scale Multimodal Learning to Rank.
KDD
Corey Lynch, Kamelia Aryafar, Josh Attenberg
2015 J jnl
Images Don't Lie: Transferring Deep Visual Semantic Features to Large-Scale Multimodal Learning to Rank.
CoRR
Corey Lynch, Kamelia Aryafar, Josh Attenberg
2014 B conf
Exploring User Behaviour on Etsy through Dominant Colors.
ICPR
Kamelia Aryafar, Corey Lynch, Josh Attenberg