Strategist: Self-improvement of LLM Decision Making via Bi-Level Tree Search - Jonathan Light; Min Cai; Weiqin Chen; Guanzhi Wang; Xiusi Chen; Wei Cheng; Yisong Yue; Ziniu Hu (The Thirteenth International Conference on Learning Representations, ICLR 2025, Singapore, April 24-28, 2025, 2025)

GR00T N1: An Open Foundation Model for Generalist Humanoid Robots - Johan Bjorck; Fernando Castañeda; Nikita Cherniadev; Xingye Da; Runyu Ding; Linxi; Yu Fang; Dieter Fox; Fengyuan Hu; Spencer Huang; Joel Jang; Zhenyu Jiang; et al. (CoRR, 2025)

DreamGen: Unlocking Generalization in Robot Learning through Neural Trajectories - Joel Jang; Seonghyeon Ye; Zongyu Lin; Jiannan Xiang; Johan Bjorck; Yu Fang; Fengyuan Hu; Spencer Huang; Kaushil Kundalia; Yen-Chen Lin; Loic Magne; Ajay Mandlekar; et al. (CoRR, 2025)

FLARE: Robot Learning with Implicit World Modeling - Ruijie Zheng; Jing Wang; Scott Reed; Johan Bjorck; Yu Fang; Fengyuan Hu; Joel Jang; Kaushil Kundalia; Zongyu Lin; Loic Magne; Avnish Narayan; You Liang Tan; et al. (CoRR, 2025)

Voyager: An Open-Ended Embodied Agent with Large Language Models - Guanzhi Wang; Yuqi Xie; Yunfan Jiang; Ajay Mandlekar; Chaowei Xiao; Yuke Zhu; Linxi Fan; Anima Anandkumar (Trans. Mach. Learn. Res., 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 (The Twelfth International Conference on Learning Representations, ICLR 2024, Vienna, Austria, May 7-11, 2024, 2024)

Open X-Embodiment: Robotic Learning Datasets and RT-X Models : Open X-Embodiment Collaboration - Abby O'Neill; Abdul Rehman; Abhiram Maddukuri; Abhishek Gupta; Abhishek Padalkar; Abraham Lee; Acorn Pooley; Agrim Gupta; Ajay Mandlekar; Ajinkya Jain; Albert Tung; Alex Bewley; et al. (IEEE International Conference on Robotics and Automation, ICRA 2024, Yokohama, Japan, May 13-17, 2024, 2024)

Strategist: Learning Strategic Skills by LLMs via Bi-Level Tree Search - Jonathan Light; Min Cai; Weiqin Chen; Guanzhi Wang; Xiusi Chen; Wei Cheng; Yisong Yue; Ziniu Hu (CoRR, 2024)

PIANIST: Learning Partially Observable World Models with LLMs for Multi-Agent Decision Making - Jonathan Light; Sixue Xing; Yuanzhe Liu; Weiqin Chen; Min Cai; Xiusi Chen; Guanzhi Wang; Wei Cheng; Yisong Yue; Ziniu Hu (CoRR, 2024)

VIMA: Robot Manipulation with Multimodal Prompts - Yunfan Jiang; Agrim Gupta; Zichen Zhang; Guanzhi Wang; Yongqiang Dou; Yanjun Chen; Li Fei-Fei; Anima Anandkumar; Yuke Zhu; Linxi Fan (International Conference on Machine Learning, ICML 2023, 23-29 July 2023, Honolulu, Hawaii, USA, 2023)

Voyager: An Open-Ended Embodied Agent with Large Language Models - Guanzhi Wang; Yuqi Xie; Yunfan Jiang; Ajay Mandlekar; Chaowei Xiao; Yuke Zhu; Linxi Fan; Anima Anandkumar (CoRR, 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 (CoRR, 2023)

MineDojo: Building Open-Ended Embodied Agents with Internet-Scale Knowledge - Linxi Fan; Guanzhi Wang; Yunfan Jiang; Ajay Mandlekar; Yuncong Yang; Haoyi Zhu; Andrew Tang; De-An Huang; Yuke Zhu; Anima Anandkumar (Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, NeurIPS 2022, New Orleans, LA, USA, November 28 - December 9, 2022, 2022)

MineDojo: Building Open-Ended Embodied Agents with Internet-Scale Knowledge - Linxi Fan; Guanzhi Wang; Yunfan Jiang; Ajay Mandlekar; Yuncong Yang; Haoyi Zhu; Andrew Tang; De-An Huang; Yuke Zhu; Anima Anandkumar (CoRR, 2022)

VIMA: General Robot Manipulation with Multimodal Prompts - Yunfan Jiang; Agrim Gupta; Zichen Zhang; Guanzhi Wang; Yongqiang Dou; Yanjun Chen; Li Fei-Fei; Anima Anandkumar; Yuke Zhu; Linxi Fan (CoRR, 2022)

Deep Video Matting via Spatio-Temporal Alignment and Aggregation - Yanan Sun; Guanzhi Wang; Qiao Gu; Chi-Keung Tang; Yu-Wing Tai (IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2021, virtual, June 19-25, 2021, 2021)

SECANT: Self-Expert Cloning for Zero-Shot Generalization of Visual Policies - Linxi Fan; Guanzhi Wang; De-An Huang; Zhiding Yu; Li Fei-Fei; Yuke Zhu; Animashree Anandkumar (Proceedings of the 38th International Conference on Machine Learning, ICML 2021, 18-24 July 2021, Virtual Event, 2021)

iGibson 1.0: A Simulation Environment for Interactive Tasks in Large Realistic Scenes - Bokui Shen; Fei Xia; Chengshu Li; Roberto Martín-Martín; Linxi Fan; Guanzhi Wang; Claudia Pérez-D'Arpino; Shyamal Buch; Sanjana Srivastava; Lyne Tchapmi; Micael Tchapmi; Kent Vainio; et al. (IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2021, Prague, Czech Republic, September 27 - Oct. 1, 2021, 2021)

Deep Video Matting via Spatio-Temporal Alignment and Aggregation - Yanan Sun; Guanzhi Wang; Qiao Gu; Chi-Keung Tang; Yu-Wing Tai (CoRR, 2021)

SECANT: Self-Expert Cloning for Zero-Shot Generalization of Visual Policies - Linxi Fan; Guanzhi Wang; De-An Huang; Zhiding Yu; Li Fei-Fei; Yuke Zhu; Anima Anandkumar (CoRR, 2021)

RubiksNet: Learnable 3D-Shift for Efficient Video Action Recognition - Linxi Fan; Shyamal Buch; Guanzhi Wang; Ryan Cao; Yuke Zhu; Juan Carlos Niebles; Li Fei-Fei (Computer Vision - ECCV 2020 - 16th European Conference, Glasgow, UK, August 23-28, 2020, Proceedings, Part XIX, 2020)

iGibson, a Simulation Environment for Interactive Tasks in Large Realistic Scenes - Bokui Shen; Fei Xia; Chengshu Li; Roberto Martín-Martín; Linxi Fan; Guanzhi Wang; Shyamal Buch; Claudia D'Arpino; Sanjana Srivastava; Lyne P. Tchapmi; Micael E. Tchapmi; Kent Vainio; et al. (CoRR, 2020)

LADN: Local Adversarial Disentangling Network for Facial Makeup and De-Makeup - Qiao Gu; Guanzhi Wang; Mang Tik Chiu; Yu-Wing Tai; Chi-Keung Tang (2019 IEEE/CVF International Conference on Computer Vision, ICCV 2019, Seoul, Korea (South), October 27 - November 2, 2019, 2019)

LADN: Local Adversarial Disentangling Network for Facial Makeup and De-Makeup - Qiao Gu; Guanzhi Wang; Mang Tik Chiu; Yu-Wing Tai; Chi-Keung Tang (CoRR, 2019)