Jang, Eric

13 publications

ICML 2022 Bayesian Imitation Learning for End-to-End Mobile Manipulation Yuqing Du, Daniel Ho, Alex Alemi, Eric Jang, Mohi Khansari

ICLRW 2022 Continuous Control on Time Tianwei Ni, Eric Jang

CoRL 2022 Do as I Can, Not as I Say: Grounding Language in Robotic Affordances Brian Ichter, Anthony Brohan, Yevgen Chebotar, Chelsea Finn, Karol Hausman, Alexander Herzog, Daniel Ho, Julian Ibarz, Alex Irpan, Eric Jang, Ryan Julian, Dmitry Kalashnikov, Sergey Levine, Yao Lu, Carolina Parada, Kanishka Rao, Pierre Sermanet, Alexander T Toshev, Vincent Vanhoucke, Fei Xia, Ted Xiao, Peng Xu, Mengyuan Yan, Noah Brown, Michael Ahn, Omar Cortes, Nicolas Sievers, Clayton Tan, Sichun Xu, Diego Reyes, Jarek Rettinghouse, Jornell Quiambao, Peter Pastor, Linda Luu, Kuang-Huei Lee, Yuheng Kuang, Sally Jesmonth, Nikhil J. Joshi, Kyle Jeffrey, Rosario Jauregui Ruano, Jasmine Hsu, Keerthana Gopalakrishnan, Byron David, Andy Zeng, Chuyuan Kelly Fu

NeurIPS 2022 Multi-Game Decision Transformers Kuang-Huei Lee, Ofir Nachum, Mengjiao Yang, Lisa Lee, Daniel Freeman, Sergio Guadarrama, Ian Fischer, Winnie Xu, Eric Jang, Henryk Michalewski, Igor Mordatch

CoRL 2021 AW-Opt: Learning Robotic Skills with Imitation andReinforcement at Scale Yao Lu, Karol Hausman, Yevgen Chebotar, Mengyuan Yan, Eric Jang, Alexander Herzog, Ted Xiao, Alex Irpan, Mohi Khansari, Dmitry Kalashnikov, Sergey Levine

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

NeurIPS 2020 Meta-Learning Requires Meta-Augmentation Janarthanan Rajendran, Alexander Irpan, Eric Jang

ICLR 2020 Thinking While Moving: Deep Reinforcement Learning with Concurrent Control Ted Xiao, Eric Jang, Dmitry Kalashnikov, Sergey Levine, Julian Ibarz, Karol Hausman, Alexander Herzog

ICLR 2020 Watch, Try, Learn: Meta-Learning from Demonstrations and Rewards Allan Zhou, Eric Jang, Daniel Kappler, Alex Herzog, Mohi Khansari, Paul Wohlhart, Yunfei Bai, Mrinal Kalakrishnan, Sergey Levine, Chelsea Finn

CoRL 2018 Grasp2Vec: Learning Object Representations from Self-Supervised Grasping Eric Jang, Coline Devin, Vincent Vanhoucke, Sergey Levine

CoRL 2018 Scalable Deep Reinforcement Learning for Vision-Based Robotic Manipulation Dmitry Kalashnikov, Alex Irpan, Peter Pastor, Julian Ibarz, Alexander Herzog, Eric Jang, Deirdre Quillen, Ethan Holly, Mrinal Kalakrishnan, Vincent Vanhoucke, Sergey Levine

ICLR 2017 Categorical Reparameterization with Gumbel-SoftMax Eric Jang, Shixiang Gu, Ben Poole

CoRL 2017 End-to-End Learning of Semantic Grasping Eric Jang, Sudheendra Vijayanarasimhan, Peter Pastor, Julian Ibarz, Sergey Levine