Lynch, Corey

9 publications

ICML 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

CoRL 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

CoRL 2021 Broadly-Exploring, Local-Policy Trees for Long-Horizon Task Planning Brian Ichter, Pierre Sermanet, Corey Lynch

CoRL 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

NeurIPSW 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

CoRL 2019 Learning Latent Plans from Play Corey Lynch, Mohi Khansari, Ted Xiao, Vikash Kumar, Jonathan Tompson, Sergey Levine, Pierre Sermanet

CoRL 2019 Relay Policy Learning: Solving Long-Horizon Tasks via Imitation and Reinforcement Learning Abhishek Gupta, Vikash Kumar, Corey Lynch, Sergey Levine, Karol Hausman

NeurIPS 2019 Wasserstein Dependency Measure for Representation Learning Sherjil Ozair, Corey Lynch, Yoshua Bengio, Aaron van den Oord, Sergey Levine, Pierre Sermanet

CVPRW 2017 Time-Contrastive Networks: Self-Supervised Learning from Multi-View Observation Pierre Sermanet, Corey Lynch, Jasmine Hsu, Sergey Levine