Liu, Fangchen

10 publications

ICML 2025 OTTER: A Vision-Language-Action Model with Text-Aware Visual Feature Extraction Huang Huang, Fangchen Liu, Letian Fu, Tingfan Wu, Mustafa Mukadam, Jitendra Malik, Ken Goldberg, Pieter Abbeel

CoRL 2024 Body Transformer: Leveraging Robot Embodiment for Policy Learning Carmelo Sferrazza, Dun-Ming Huang, Fangchen Liu, Jongmin Lee, Pieter Abbeel

ICML 2024 Chain-of-Thought Predictive Control Zhiwei Jia, Vineet Thumuluri, Fangchen Liu, Linghao Chen, Zhiao Huang, Hao Su

NeurIPSW 2024 In-Context Imitation Learning via Next-Token Prediction Letian Fu, Huang Huang, Gaurav Datta, Lawrence Yunliang Chen, William Chung-Ho Panitch, Fangchen Liu, Hui Li, Ken Goldberg

ICLRW 2023 Chain-of-Thought Predictive Control Zhiwei Jia, Fangchen Liu, Vineet Thumuluri, Linghao Chen, Zhiao Huang, Hao Su

ICML 2023 The Wisdom of Hindsight Makes Language Models Better Instruction Followers Tianjun Zhang, Fangchen Liu, Justin Wong, Pieter Abbeel, Joseph E. Gonzalez

NeurIPS 2022 Masked Autoencoding for Scalable and Generalizable Decision Making Fangchen Liu, Hao Liu, Aditya Grover, Pieter Abbeel

CoRL 2022 Masked World Models for Visual Control Younggyo Seo, Danijar Hafner, Hao Liu, Fangchen Liu, Stephen James, Kimin Lee, Pieter Abbeel

ICLR 2020 State Alignment-Based Imitation Learning Fangchen Liu, Zhan Ling, Tongzhou Mu, Hao Su

NeurIPS 2019 Mapping State Space Using Landmarks for Universal Goal Reaching Zhiao Huang, Fangchen Liu, Hao Su