Justin Yu

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 16

Top Topics

Reinforcement Learning

Kalman Filtering

Top Venues

Publications

Alireza Ghaffari, Justin Yu, Mahsa Ghazvini Nejad, Masoud Asgharian, Boxing Chen, Vahid Partovi Nia
Mitigating Outlier Activations in Low-Precision Fine-Tuning of Language Models. ICPRAM (2024)
Alireza Ghaffari, Justin Yu, Mahsa Ghazvini Nejad, Masoud Asgharian, Boxing Chen, Vahid Partovi Nia
Mitigating Outlier Activations in Low-Precision Fine-Tuning of Language Models. CoRR (2023)
Murtadha Aldeer, Yuan Sun, Nandana Pai, Joseph Florentine, Justin Yu, Jorge Ortiz
Poster Abstract: A Testbed for Context Representation in Physical Spaces. IPSN (2023)
Kai Gao, Justin Yu, Tanay Sandeep Punjabi, Jingjin Yu
Effectively Rearranging Heterogeneous Objects on Cluttered Tabletops. IROS (2023)
Kai Gao, Justin Yu, Tanay Sandeep Punjabi, Jingjin Yu
Effectively Rearranging Heterogeneous Objects on Cluttered Tabletops. CoRR (2023)
Kevin Li, Abhishek Gupta, Ashwin Reddy, Vitchyr H. Pong, Aurick Zhou, Justin Yu, Sergey Levine
MURAL: Meta-Learning Uncertainty-Aware Rewards for Outcome-Driven Reinforcement Learning. ICML (2021)
Tzu-Yuan Lin, Ray Zhang, Justin Yu, Maani Ghaffari
Legged Robot State Estimation using Invariant Kalman Filtering and Learned Contact Events. CoRL (2021)
Abhishek Gupta, Justin Yu, Tony Z. Zhao, Vikash Kumar, Aaron Rovinsky, Kelvin Xu, Thomas Devlin, Sergey Levine
Reset-Free Reinforcement Learning via Multi-Task Learning: Learning Dexterous Manipulation Behaviors without Human Intervention. CoRR (2021)
Tahiya Chowdhury, Murtadha Aldeer, Shantanu Laghate, Justin Yu, Qizhen Ding, Joseph Florentine, Jorge Ortiz
Poster: Maestro - An Ambient Sensing Platform With Active Learning To Enable Smart Applications. EWSN (2021)
Tzu-Yuan Lin, Ray Zhang, Justin Yu, Maani Ghaffari
Deep Multi-Modal Contact Estimation for Invariant Observer Design on Quadruped Robots. CoRR (2021)
Kevin Li, Abhishek Gupta, Ashwin Reddy, Vitchyr Pong, Aurick Zhou, Justin Yu, Sergey Levine
MURAL: Meta-Learning Uncertainty-Aware Rewards for Outcome-Driven Reinforcement Learning. CoRR (2021)
Murtadha Aldeer, Justin Yu, Tahiya Chowdhury, Joseph Florentine, Jakub Kolodziejski, Richard E. Howard, Richard P. Martin, Jorge Ortiz
A smart agent guided contactless data collection system amid a pandemic. MobiSys (2021)
Abhishek Gupta, Justin Yu, Tony Z. Zhao, Vikash Kumar, Aaron Rovinsky, Kelvin Xu, Thomas Devlin, Sergey Levine
Reset-Free Reinforcement Learning via Multi-Task Learning: Learning Dexterous Manipulation Behaviors without Human Intervention. ICRA (2021)
Henry Zhu, Justin Yu, Abhishek Gupta, Dhruv Shah, Kristian Hartikainen, Avi Singh, Vikash Kumar, Sergey Levine
The Ingredients of Real World Robotic Reinforcement Learning. ICLR (2020)
Henry Zhu, Justin Yu, Abhishek Gupta, Dhruv Shah, Kristian Hartikainen, Avi Singh, Vikash Kumar, Sergey Levine
The Ingredients of Real-World Robotic Reinforcement Learning. CoRR (2020)
Murtadha Aldeer, Joseph Florentine, Justin Yu, Liam Ryan, Zhenzhou Qi, Jakub Kolodziejski, Mike Haberland, Richard E. Howard, Richard P. Martin
Investigating the biological impacts of radio transmissions: poster abstract. SenSys (2020)