Jesse Zhang

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 31

Top Topics

Application Domains

Activity Detection

Reinforcement Learning

Past Experience

Top Venues

Publications

Jesse Zhang, Minho Heo, Zuxin Liu, Erdem Biyik, Joseph J. Lim, Yao Liu, Rasool Fakoor
EXTRACT: Efficient Policy Learning by Extracting Transferrable Robot Skills from Offline Data. CoRR (2024)
Zuxin Liu, Jesse Zhang, Kavosh Asadi, Yao Liu, Ding Zhao, Shoham Sabach, Rasool Fakoor
TAIL: Task-specific Adapters for Imitation Learning with Large Pretrained Models. ICLR (2024)
Jesse Zhang, Karl Pertsch, Jiahui Zhang, Joseph J. Lim
SPRINT: Scalable Policy Pre-Training via Language Instruction Relabeling. ICRA (2024)
Yufei Wang, Zhanyi Sun, Jesse Zhang, Zhou Xian, Erdem Biyik, David Held, Zackory Erickson
RL-VLM-F: Reinforcement Learning from Vision Language Foundation Model Feedback. CoRR (2024)
Jesse Zhang, Jiahui Zhang, Karl Pertsch, Ziyi Liu, Xiang Ren, Minsuk Chang, Shao-Hua Sun, Joseph J. Lim
Bootstrap Your Own Skills: Learning to Solve New Tasks with Large Language Model Guidance. CoRL (2023)
Jesse Zhang, Jiahui Zhang, Karl Pertsch, Ziyi Liu, Xiang Ren, Minsuk Chang, Shao-Hua Sun, Joseph J. Lim
Bootstrap Your Own Skills: Learning to Solve New Tasks with Large Language Model Guidance. CoRR (2023)
Zuxin Liu, Jesse Zhang, Kavosh Asadi, Yao Liu, Ding Zhao, Shoham Sabach, Rasool Fakoor
TAIL: Task-specific Adapters for Imitation Learning with Large Pretrained Models. CoRR (2023)
Taewook Nam, Juyong Lee, Jesse Zhang, Sung Ju Hwang, Joseph J. Lim, Karl Pertsch
LiFT: Unsupervised Reinforcement Learning with Foundation Models as Teachers. CoRR (2023)
Sumedh A. Sontakke, Jesse Zhang, Sébastien M. R. Arnold, Karl Pertsch, Erdem Biyik, Dorsa Sadigh, Chelsea Finn, Laurent Itti
RoboCLIP: One Demonstration is Enough to Learn Robot Policies. CoRR (2023)
Linghan Zhong, Ryan Lindeborg, Jesse Zhang, Joseph J. Lim, Shao-Hua Sun
Hierarchical Neural Program Synthesis. CoRR (2023)
Sumedh Sontakke, Jesse Zhang, Sébastien M. R. Arnold, Karl Pertsch, Erdem Biyik, Dorsa Sadigh, Chelsea Finn, Laurent Itti
RoboCLIP: One Demonstration is Enough to Learn Robot Policies. NeurIPS (2023)
Jesse Zhang, Karl Pertsch, Jiahui Zhang, Joseph J. Lim
SPRINT: Scalable Policy Pre-Training via Language Instruction Relabeling. CoRR (2023)
Dweep Trivedi, Jesse Zhang, Shao-Hua Sun, Joseph J. Lim
Learning to Synthesize Programs as Interpretable and Generalizable Policies. CoRR (2021)
Jesse Zhang, Haonan Yu, Wei Xu
Hierarchical Reinforcement Learning By Discovering Intrinsic Options. CoRR (2021)
Zhenghua Lyu, Huan Hubert Zhang, Gang Xiong, Gang Guo, Haozhou Wang, Jinbao Chen, Asim Praveen, Yu Yang, Xiaoming Gao, Alexandra Wang, Wen Lin, Ashwin Agrawal, Junfeng Yang, Hao Wu, Xiaoliang Li, Feng Guo, Jiang Wu, Jesse Zhang, Venkatesh Raghavan
Greenplum: A Hybrid Database for Transactional and Analytical Workloads. SIGMOD Conference (2021)
Dweep Trivedi, Jesse Zhang, Shao-Hua Sun, Joseph J. Lim
Learning to Synthesize Programs as Interpretable and Generalizable Policies. NeurIPS (2021)
Afzal Godil, Yooyoung Lee, Jon Fiscus, Andrew Delgado, Eliot Godard, Baptiste Chocot, Lukas L. Diduch, Jim Golden, Jesse Zhang
2020 Sequestered Data Evaluation for Known Activities in Extended Video: Summary and Results. WACV (Workshops) (2021)
Jesse Zhang, Haonan Yu, Wei Xu
Hierarchical Reinforcement Learning by Discovering Intrinsic Options. ICLR (2021)
Zhenghua Lyu, Huan Hubert Zhang, Gang Xiong, Haozhou Wang, Gang Guo, Jinbao Chen, Asim Praveen, Yu Yang, Xiaoming Gao, Ashwin Agrawal, Alexandra Wang, Wen Lin, Junfeng Yang, Hao Wu, Xiaoliang Li, Feng Guo, Jiang Wu, Jesse Zhang, Venkatesh Raghavan
Greenplum: A Hybrid Database for Transactional and Analytical Workloads. CoRR (2021)
George Awad, Asad A. Butt, Keith Curtis, Jonathan G. Fiscus, Afzal Godil, Yooyoung Lee, Andrew Delgado, Jesse Zhang, Eliot Godard, Baptiste Chocot, Lukas L. Diduch, Jeffrey Liu, Alan F. Smeaton, Yvette Graham, Gareth J. F. Jones, Wessel Kraaij, Georges Quénot
TRECVID 2020: A comprehensive campaign for evaluating video retrieval tasks across multiple application domains. CoRR (2021)
Jesse Zhang, Brian Cheung, Chelsea Finn, Sergey Levine, Dinesh Jayaraman
Cautious Adaptation For Reinforcement Learning in Safety-Critical Settings. ICML (2020)
George Awad, Asad A. Butt, Keith Curtis, Jonathan G. Fiscus, Afzal Godil, Yooyoung Lee, Andrew Delgado, Jesse Zhang, Eliot Godard, Baptiste Chocot, Lukas L. Diduch, Jeffrey Liu, Alan F. Smeaton, Yvette Graham, Gareth J. F. Jones, Wessel Kraaij, Georges Quénot
TRECVID 2020: A comprehensive campaign for evaluating video retrieval tasks across multiple application domains. TRECVID (2020)
Jesse Zhang, Brian Cheung, Chelsea Finn, Sergey Levine, Dinesh Jayaraman
Cautious Adaptation For Reinforcement Learning in Safety-Critical Settings. CoRR (2020)
Avi Singh, Albert Yu, Jonathan Yang, Jesse Zhang, Aviral Kumar, Sergey Levine
Chaining Behaviors from Data with Model-Free Reinforcement Learning. CoRL (2020)
George Awad, Asad A. Butt, Keith Curtis, Yooyoung Lee, Jonathan G. Fiscus, Afzal Godil, Andrew Delgado, Jesse Zhang, Eliot Godard, Lukas L. Diduch, Alan F. Smeaton, Yvette Graham, Wessel Kraaij, Georges Quénot
TRECVID 2019: An Evaluation Campaign to Benchmark Video Activity Detection, Video Captioning and Matching, and Video Search & Retrieval. CoRR (2020)
Avi Singh, Albert Yu, Jonathan Yang, Jesse Zhang, Aviral Kumar, Sergey Levine
COG: Connecting New Skills to Past Experience with Offline Reinforcement Learning. CoRR (2020)
Brian H. Yang, Jesse Zhang, Vitchyr Pong, Sergey Levine, Dinesh Jayaraman
REPLAB: A Reproducible Low-Cost Arm Benchmark Platform for Robotic Learning. CoRR (2019)
Brian H. Yang, Dinesh Jayaraman, Jesse Zhang, Sergey Levine
REPLAB: A Reproducible Low-Cost Arm Benchmark for Robotic Learning. ICRA (2019)
Jesse Zhang, Jack Sullivan, Vasudev Venkatesh P. B., Kyle Tse, Andy Yan, John Leyden, Kalyanaraman Shankari, Randy H. Katz
TripAware: Emotional and Informational Approaches to Encourage Sustainable Transportation via Mobile Applications. BuildSys@SenSys (2019)
Daiyaan Arfeen, Jesse Zhang
Unsupervised Projection Networks for Generative Adversarial Networks. CoRR (2019)
George Awad, Asad A. Butt, Keith Curtis, Yooyoung Lee, Jonathan G. Fiscus, Afzal Godil, Andrew Delgado, Jesse Zhang, Eliot Godard, Lukas L. Diduch, Alan F. Smeaton, Yvette Graham, Wessel Kraaij, Georges Quénot
TRECVID 2019: An evaluation campaign to benchmark Video Activity Detection, Video Captioning and Matching, and Video Search & retrieval. TRECVID (2019)