Ma, Yecheng Jason

22 publications

ICLR 2025 Articulate-Anything: Automatic Modeling of Articulated Objects via a Vision-Language Foundation Model Long Le, Jason Xie, William Liang, Hung-Ju Wang, Yue Yang, Yecheng Jason Ma, Kyle Vedder, Arjun Krishna, Dinesh Jayaraman, Eric Eaton

ICLR 2025 Vision Language Models Are In-Context Value Learners Yecheng Jason Ma, Joey Hejna, Chuyuan Fu, Dhruv Shah, Jacky Liang, Zhuo Xu, Sean Kirmani, Peng Xu, Danny Driess, Ted Xiao, Osbert Bastani, Dinesh Jayaraman, Wenhao Yu, Tingnan Zhang, Dorsa Sadigh, Fei Xia

CoRL 2024 Environment Curriculum Generation via Large Language Models William Liang, Sam Wang, Hung-Ju Wang, Osbert Bastani, Dinesh Jayaraman, Yecheng Jason Ma

ICLR 2024 Eureka: Human-Level Reward Design via Coding Large Language Models Yecheng Jason Ma, William Liang, Guanzhi Wang, De-An Huang, Osbert Bastani, Dinesh Jayaraman, Yuke Zhu, Linxi Fan, Anima Anandkumar

NeurIPSW 2023 Eureka: Human-Level Reward Design via Coding Large Language Models Yecheng Jason Ma, William Liang, Guanzhi Wang, De-An Huang, Osbert Bastani, Dinesh Jayaraman, Yuke Zhu, Linxi Fan, Anima Anandkumar

NeurIPSW 2023 Eureka: Human-Level Reward Design via Coding Large Language Models Yecheng Jason Ma, William Liang, Guanzhi Wang, De-An Huang, Osbert Bastani, Dinesh Jayaraman, Yuke Zhu, Linxi Fan, Anima Anandkumar

ICML 2023 LIV: Language-Image Representations and Rewards for Robotic Control Yecheng Jason Ma, Vikash Kumar, Amy Zhang, Osbert Bastani, Dinesh Jayaraman

ICLRW 2023 LIV: Language-Image Representations and Rewards for Robotic Control Yecheng Jason Ma, Vikash Kumar, Amy Zhang, Osbert Bastani, Dinesh Jayaraman

L4DC 2023 Learning Policy-Aware Models for Model-Based Reinforcement Learning via Transition Occupancy Matching Yecheng Jason Ma, Kausik Sivakumar, Jason Yan, Osbert Bastani, Dinesh Jayaraman

NeurIPSW 2023 Universal Visual Decomposer: Long-Horizon Manipulation Made Easy Zichen Zhang, Yunshuang Li, Osbert Bastani, Abhishek Gupta, Dinesh Jayaraman, Yecheng Jason Ma, Luca Weihs

NeurIPSW 2023 Universal Visual Decomposer: Long-Horizon Manipulation Made Easy Zichen Zhang, Yunshuang Li, Osbert Bastani, Abhishek Gupta, Dinesh Jayaraman, Yecheng Jason Ma, Luca Weihs

ICLR 2023 VIP: Towards Universal Visual Reward and Representation via Value-Implicit Pre-Training Yecheng Jason Ma, Shagun Sodhani, Dinesh Jayaraman, Osbert Bastani, Vikash Kumar, Amy Zhang

ICLRW 2023 Where Are We in the Search for an Artificial Visual Cortex for Embodied Intelligence? Arjun Majumdar, Karmesh Yadav, Sergio Arnaud, Yecheng Jason Ma, Claire Chen, Sneha Silwal, Aryan Jain, Vincent-Pierre Berges, Pieter Abbeel, Dhruv Batra, Yixin Lin, Oleksandr Maksymets, Aravind Rajeswaran, Franziska Meier

AAAI 2022 Conservative and Adaptive Penalty for Model-Based Safe Reinforcement Learning Yecheng Jason Ma, Andrew Shen, Osbert Bastani, Dinesh Jayaraman

NeurIPSW 2022 Policy Aware Model Learning via Transition Occupancy Matching Yecheng Jason Ma, Kausik Sivakumar, Osbert Bastani, Dinesh Jayaraman

NeurIPSW 2022 Policy Aware Model Learning via Transition Occupancy Matching Yecheng Jason Ma, Kausik Sivakumar, Osbert Bastani, Dinesh Jayaraman

NeurIPSW 2022 Towards Universal Visual Reward and Representation via Value-Implicit Pre-Training Yecheng Jason Ma, Shagun Sodhani, Dinesh Jayaraman, Osbert Bastani, Vikash Kumar, Amy Zhang

NeurIPSW 2022 VIP: Towards Universal Visual Reward and Representation via Value-Implicit Pre-Training Yecheng Jason Ma, Shagun Sodhani, Dinesh Jayaraman, Osbert Bastani, Vikash Kumar, Amy Zhang

NeurIPSW 2022 VIP: Towards Universal Visual Reward and Representation via Value-Implicit Pre-Training Yecheng Jason Ma, Shagun Sodhani, Dinesh Jayaraman, Osbert Bastani, Vikash Kumar, Amy Zhang

ICLRW 2022 Versatile Offline Imitation Learning via State-Occupancy Matching Yecheng Jason Ma, Andrew Shen, Dinesh Jayaraman, Osbert Bastani

NeurIPSW 2021 Conservative and Adaptive Penalty for Model-Based Safe Reinforcement Learning Yecheng Jason Ma, Andrew Shen, Osbert Bastani, Dinesh Jayaraman

ICCV 2021 Likelihood-Based Diverse Sampling for Trajectory Forecasting Yecheng Jason Ma, Jeevana Priya Inala, Dinesh Jayaraman, Osbert Bastani