Eric Jang
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
16
Venues
5
Active years
2017–2023
Best venue rank
A*
Where they publish
Papers
16 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2023 | ICRA | Practical Visual Deep Imitation Learning via Task-Level Domain Consistency. | Mohi Khansari, Daniel Ho, Yuqing Du, Armando Fuentes, Matthew Bennice, Nicolas Sievers, Sean Kirmani, Yunfei Bai, Eric Jang |
| 2022 | CoRL | 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 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 | ICML | Bayesian Imitation Learning for End-to-End Mobile Manipulation. | Yuqing Du, Daniel Ho, Alex Alemi, Eric Jang, Mohi Khansari |
| 2021 | CoRL | 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 |
| 2021 | CoRL | 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 |
| 2021 | ICRA | RetinaGAN: An Object-aware Approach to Sim-to-Real Transfer. | Daniel Ho, Kanishka Rao, Zhuo Xu, Eric Jang, Mohi Khansari, Yunfei Bai |
| 2020 | ICLR | Thinking While Moving: Deep Reinforcement Learning with Concurrent Control. | Ted Xiao, Eric Jang, Dmitry Kalashnikov, Sergey Levine, Julian Ibarz, Karol Hausman, Alexander Herzog |
| 2020 | ICLR | Watch, Try, Learn: Meta-Learning from Demonstrations and Rewards. | Allan Zhou, Eric Jang, Daniel Kappler, Alexander Herzog, Mohi Khansari, Paul Wohlhart, Yunfei Bai, Mrinal Kalakrishnan, Sergey Levine, Chelsea Finn |
| 2020 | ICRA | Scalable Multi-Task Imitation Learning with Autonomous Improvement. | Avi Singh, Eric Jang, Alexander Irpan, Daniel Kappler, Murtaza Dalal, Sergey Levine, Mohi Khansari, Chelsea Finn |
| 2018 | CoRL | Grasp2Vec: Learning Object Representations from Self-Supervised Grasping. | Eric Jang, Coline Devin, Vincent Vanhoucke, Sergey Levine |
| 2018 | CoRL | 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 |
| 2018 | CVPR | Sim2Real Viewpoint Invariant Visual Servoing by Recurrent Control. | Fereshteh Sadeghi, Alexander Toshev, Eric Jang, Sergey Levine |
| 2018 | ICRA | Deep Reinforcement Learning for Vision-Based Robotic Grasping: A Simulated Comparative Evaluation of Off-Policy Methods. | Deirdre Quillen, Eric Jang, Ofir Nachum, Chelsea Finn, Julian Ibarz, Sergey Levine |
| 2018 | ICRA | Time-Contrastive Networks: Self-Supervised Learning from Video. | Pierre Sermanet, Corey Lynch, Yevgen Chebotar, Jasmine Hsu, Eric Jang, Stefan Schaal, Sergey Levine |
| 2017 | CoRL | End-to-End Learning of Semantic Grasping. | Eric Jang, Sudheendra Vijayanarasimhan, Peter Pastor, Julian Ibarz, Sergey Levine |
| 2017 | ICLR | Categorical Reparameterization with Gumbel-Softmax. | Eric Jang, Shixiang Gu, Ben Poole |