Eric Jang

36 papers A* 11Misc 6Journal 18Unranked 1
YearRankTypeTitle / Venue / Authors
2023 A* conf
Practical Visual Deep Imitation Learning via Task-Level Domain Consistency.
ICRA
Mohi Khansari, Daniel Ho, Yuqing Du, Armando Fuentes, Matthew Bennice, Nicolas Sievers, Sean Kirmani, Yunfei Bai, Eric Jang
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 A* conf
Bayesian Imitation Learning for End-to-End Mobile Manipulation.
ICML
Yuqing Du, Daniel Ho, Alex Alemi, Eric Jang, Mohi Khansari
2022 J jnl
Bayesian Imitation Learning for End-to-End Mobile Manipulation.
CoRR
Yuqing Du, Daniel Ho, Alexander A. Alemi, Eric Jang, Mohi Khansari
2022 Misc conf
Do As I Can, Not As I Say: Grounding Language in Robotic Affordances.
CoRL
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 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
2022 J jnl
Do As I Can, Not As I Say: Grounding Language in Robotic Affordances.
CoRR
Michael Ahn, Anthony Brohan, Noah Brown, Yevgen Chebotar, Omar Cortes, Byron David, Chelsea Finn, Keerthana Gopalakrishnan, Karol Hausman, Alexander Herzog, Daniel Ho, Jasmine Hsu, Julian Ibarz, Brian Ichter, Alex Irpan, Eric Jang, Rosario Jauregui Ruano, Kyle Jeffrey, Sally Jesmonth, Nikhil J. Joshi, Ryan Julian, Dmitry Kalashnikov, Yuheng Kuang, Kuang-Huei Lee, Sergey Levine, Yao Lu, Linda Luu, Carolina Parada, Peter Pastor, Jornell Quiambao, Kanishka Rao, Jarek Rettinghouse, Diego Reyes, Pierre Sermanet, Nicolas Sievers, Clayton Tan, Alexander Toshev, Vincent Vanhoucke, Fei Xia, Ted Xiao, Peng Xu, Sichun Xu, Mengyuan Yan
2022 A* conf
Multi-Game Decision Transformers.
NeurIPS
Kuang-Huei Lee, Ofir Nachum, Mengjiao Yang, Lisa Lee, Daniel Freeman, Sergio Guadarrama, Ian Fischer, Winnie Xu, Eric Jang, Henryk Michalewski, Igor Mordatch
2022 J jnl
Multi-Game Decision Transformers.
CoRR
Kuang-Huei Lee, Ofir Nachum, Mengjiao Yang, Lisa Lee, Daniel Freeman, Winnie Xu, Sergio Guadarrama, Ian Fischer, Eric Jang, Henryk Michalewski, Igor Mordatch
2022 J jnl
Practical Imitation Learning in the Real World via Task Consistency Loss.
CoRR
Mohi Khansari, Daniel Ho, Yuqing Du, Armando Fuentes, Matthew Bennice, Nicolas Sievers, Sean Kirmani, Yunfei Bai, Eric Jang
2021 J jnl
AW-Opt: Learning Robotic Skills with Imitation and Reinforcement at Scale.
CoRR
Yao Lu, Karol Hausman, Yevgen Chebotar, Mengyuan Yan, Eric Jang, Alexander Herzog, Ted Xiao, Alex Irpan, Mohi Khansari, Dmitry Kalashnikov, Sergey Levine
2021 Misc conf
AW-Opt: Learning Robotic Skills with Imitation andReinforcement at Scale.
CoRL
Yao Lu, Karol Hausman, Yevgen Chebotar, Mengyuan Yan, Eric Jang, Alexander Herzog, Ted Xiao, Alex Irpan, Mohi Khansari, Dmitry Kalashnikov, Sergey Levine
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 A* conf
RetinaGAN: An Object-aware Approach to Sim-to-Real Transfer.
ICRA
Daniel Ho, Kanishka Rao, Zhuo Xu, Eric Jang, Mohi Khansari, Yunfei Bai
2020 A* conf
Meta-Learning Requires Meta-Augmentation.
NeurIPS
Janarthanan Rajendran, Alexander Irpan, Eric Jang
2020 J jnl
Meta-Learning Requires Meta-Augmentation.
CoRR
Janarthanan Rajendran, Alex Irpan, Eric Jang
2020 J jnl
RetinaGAN: An Object-aware Approach to Sim-to-Real Transfer.
CoRR
Daniel Ho, Kanishka Rao, Zhuo Xu, Eric Jang, Mohi Khansari, Yunfei Bai
2020 A* conf
Scalable Multi-Task Imitation Learning with Autonomous Improvement.
ICRA
Avi Singh, Eric Jang, Alexander Irpan, Daniel Kappler, Murtaza Dalal, Sergey Levine, Mohi Khansari, Chelsea Finn
2020 J jnl
Scalable Multi-Task Imitation Learning with Autonomous Improvement.
CoRR
Avi Singh, Eric Jang, Alexander Irpan, Daniel Kappler, Murtaza Dalal, Sergey Levine, Mohi Khansari, Chelsea Finn
2020 A* conf
Thinking While Moving: Deep Reinforcement Learning with Concurrent Control.
ICLR
Ted Xiao, Eric Jang, Dmitry Kalashnikov, Sergey Levine, Julian Ibarz, Karol Hausman, Alexander Herzog
2020 J jnl
Thinking While Moving: Deep Reinforcement Learning with Concurrent Control.
CoRR
Ted Xiao, Eric Jang, Dmitry Kalashnikov, Sergey Levine, Julian Ibarz, Karol Hausman, Alexander Herzog
2020 A* conf
Watch, Try, Learn: Meta-Learning from Demonstrations and Rewards.
ICLR
Allan Zhou, Eric Jang, Daniel Kappler, Alexander Herzog, Mohi Khansari, Paul Wohlhart, Yunfei Bai, Mrinal Kalakrishnan, Sergey Levine, Chelsea Finn
2019 J jnl
Watch, Try, Learn: Meta-Learning from Demonstrations and Reward.
CoRR
Allan Zhou, Eric Jang, Daniel Kappler, Alexander Herzog, Mohi Khansari, Paul Wohlhart, Yunfei Bai, Mrinal Kalakrishnan, Sergey Levine, Chelsea Finn
2018 A* conf
Deep Reinforcement Learning for Vision-Based Robotic Grasping: A Simulated Comparative Evaluation of Off-Policy Methods.
ICRA
Deirdre Quillen, Eric Jang, Ofir Nachum, Chelsea Finn, Julian Ibarz, Sergey Levine
2018 J jnl
Deep Reinforcement Learning for Vision-Based Robotic Grasping: A Simulated Comparative Evaluation of Off-Policy Methods.
CoRR
Deirdre Quillen, Eric Jang, Ofir Nachum, Chelsea Finn, Julian Ibarz, Sergey Levine
2018 J jnl
Generative Ensembles for Robust Anomaly Detection.
CoRR
Hyunsun Choi, Eric Jang
2018 Misc conf
Grasp2Vec: Learning Object Representations from Self-Supervised Grasping.
CoRL
Eric Jang, Coline Devin, Vincent Vanhoucke, Sergey Levine
2018 J jnl
Grasp2Vec: Learning Object Representations from Self-Supervised Grasping.
CoRR
Eric Jang, Coline Devin, Vincent Vanhoucke, Sergey Levine
2018 J jnl
QT-Opt: Scalable Deep Reinforcement Learning for Vision-Based Robotic Manipulation.
CoRR
Dmitry Kalashnikov, Alex Irpan, Peter Pastor, Julian Ibarz, Alexander Herzog, Eric Jang, Deirdre Quillen, Ethan Holly, Mrinal Kalakrishnan, Vincent Vanhoucke, Sergey Levine
2018 Misc conf
Scalable Deep Reinforcement Learning for Vision-Based Robotic Manipulation.
CoRL
Dmitry Kalashnikov, Alex Irpan, Peter Pastor, Julian Ibarz, Alexander Herzog, Eric Jang, Deirdre Quillen, Ethan Holly, Mrinal Kalakrishnan, Vincent Vanhoucke, Sergey Levine
2018 A* conf
Sim2Real Viewpoint Invariant Visual Servoing by Recurrent Control.
CVPR
Fereshteh Sadeghi, Alexander Toshev, Eric Jang, Sergey Levine
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 — conf
Categorical Reparameterization with Gumbel-Softmax.
ICLR (Poster)
Eric Jang, Shixiang Gu, Ben Poole
2017 Misc conf
End-to-End Learning of Semantic Grasping.
CoRL
Eric Jang, Sudheendra Vijayanarasimhan, Peter Pastor, Julian Ibarz, Sergey Levine
2017 J jnl
End-to-End Learning of Semantic Grasping.
CoRR
Eric Jang, Sudheendra Vijayanarasimhan, Peter Pastor, Julian Ibarz, Sergey Levine
2017 J jnl
Sim2Real View Invariant Visual Servoing by Recurrent Control.
CoRR
Fereshteh Sadeghi, Alexander Toshev, Eric Jang, Sergey Levine
2016 J jnl
Categorical Reparameterization with Gumbel-Softmax.
CoRR
Eric Jang, Shixiang Gu, Ben Poole