Fangchen Liu

Chain-of-Thought Predictive Control

Zhiwei Jia, Fangchen Liu, Vineet Thumuiluri, Linghao Chen, Zhiao Huang, Hao Su

ICLR 2023, RRL Workshop

The Wisdom of Hindsight Makes Language Models Better Instruction Followers

Tianjun Zhang*, Fangchen Liu*, Justin Wong, Pieter Abbeel, Joseph E. Gonzalez.

ICML 2023

Masked Autoencoding for Scalable and Generalizable Decision Making

Fangchen Liu*, Hao Liu*, Aditya Grover, Pieter Abbeel.

NeurIPS 2022

Masked World Models for Visual Control

Younggyo Seo, Danijar Hafner, Hao Liu, Fangchen Liu, Stephen James, Kimin Lee, Pieter Abbeel.

CoRL 2022

HARP: Autoregressive Latent Video Prediction with High-Fidelity Image Generator

Younggyo Seo, Kimin Lee, Fangchen Liu, Stephen James, Pieter Abbeel.

ICIP 2022

Towards More Generalizable One-shot Visual Imitation Learning

Zhao Mandi*, Fangchen Liu*, Kimin Lee, Pieter Abbeel.

ICRA 2022

SAPIEN: a SimulAted Part-based Interactive ENvironment

Fanbo Xiang, Yuzhe Qin, Kaichun Mo, Yikuan Xia, Hao Zhu, Fangchen Liu, Minghua Liu, Hanxiao Jiang, Yifu Yuan, Li Yi, He Wang, Angel Chang, Leonidas Guibas, Hao Su.

CVPR 2020 (oral)

State Alignment-based Imitation Learning

Fangchen Liu, Zhan Ling, Tongzhou Mu, Hao Su

ICLR 2020

Mapping State Space using Landmarks for Universal Goal Reaching

Zhiao Huang*, Fangchen Liu*, Hao Su

NeurIPS 2019

Adversarial Defense by Stratified Convolutional Sparse Coding

Bo Sun, Nian-Tsuan Tsai, Fangchen Liu, Ronald Yu, Hao Su

CVPR 2019

Revisiting the Master-Slave Architecture in Multi-Agent Deep Reinforcement Learning

Xiangyu Kong, Fangchen Liu*, Bo Xin*, Yizhou Wang

BDD100K: A Diverse Driving Dataset for Heterogeneous Multitask Learning.

Fisher Yu, Haofeng Chen, Xin Wang, Wenqi Xian, Yingying Chen, Fangchen Liu, Vash Madhavan, Trevor Darrell