Fu, Haotian

17 publications

ICCV 2025 ClearSight: Human Vision-Inspired Solutions for Event-Based Motion Deblurring Xiaopeng Lin, Yulong Huang, Hongwei Ren, Zunchang Liu, Hongxiang Huang, Yue Zhou, Haotian Fu, Bojun Cheng

ICML 2025 Knowledge Retention in Continual Model-Based Reinforcement Learning Haotian Fu, Yixiang Sun, Michael Littman, George Konidaris

NeurIPS 2025 Learning Parameterized Skills from Demonstrations Vedant Gupta, Haotian Fu, Calvin Luo, Yiding Jiang, George Konidaris

ICLRW 2025 Natural Language Reinforcement Learning Xidong Feng, Bo Liu, Ziyu Wan, Haotian Fu, Girish A. Koushik, Zhiyuan Hu, Mengyue Yang, Ying Wen, Jun Wang

CVPR 2024 A Simple and Effective Point-Based Network for Event Camera 6-DOFs Pose Relocalization Hongwei Ren, Jiadong Zhu, Yue Zhou, Haotian Fu, Yulong Huang, Bojun Cheng

ICML 2024 CLIF: Complementary Leaky Integrate-and-Fire Neuron for Spiking Neural Networks Yulong Huang, Xiaopeng Lin, Hongwei Ren, Haotian Fu, Yue Zhou, Zunchang Liu, Biao Pan, Bojun Cheng

NeurIPSW 2024 Knowledge Retention in Continual Model-Based Reinforcement Learning Haotian Fu, Yixiang Sun, Michael Littman, George Konidaris

ICML 2024 Language-Guided Skill Learning with Temporal Variational Inference Haotian Fu, Pratyusha Sharma, Elias Stengel-Eskin, George Konidaris, Nicolas Le Roux, Marc-Alexandre Côté, Xingdi Yuan

ICLRW 2024 Language-Guided Skill Learning with Temporal Variational Inference Haotian Fu, Pratyusha Sharma, Elias Stengel-Eskin, George Konidaris, Nicolas Le Roux, Marc-Alexandre Côté, Xingdi Yuan

ICML 2024 Model-Based Reinforcement Learning for Parameterized Action Spaces Renhao Zhang, Haotian Fu, Yilin Miao, George Konidaris

ICLR 2024 SpikePoint: An Efficient Point-Based Spiking Neural Network for Event Cameras Action Recognition Hongwei Ren, Yue Zhou, Xiaopeng Lin, Yulong Huang, Haotian Fu, Jie Song, Bojun Cheng

ICML 2023 Meta-Learning Parameterized Skills Haotian Fu, Shangqun Yu, Saket Tiwari, Michael Littman, George Konidaris

ICLR 2023 Performance Bounds for Model and Policy Transfer in Hidden-Parameter MDPs Haotian Fu, Jiayu Yao, Omer Gottesman, Finale Doshi-Velez, George Konidaris

NeurIPS 2022 Model-Based Lifelong Reinforcement Learning with Bayesian Exploration Haotian Fu, Shangqun Yu, Michael L. Littman, George Konidaris

NeurIPSW 2021 Bayesian Exploration for Lifelong Reinforcement Learning Haotian Fu, Shangqun Yu, Michael Littman, George Konidaris

AAAI 2021 Towards Effective Context for Meta-Reinforcement Learning: An Approach Based on Contrastive Learning Haotian Fu, Hongyao Tang, Jianye Hao, Chen Chen, Xidong Feng, Dong Li, Wulong Liu

IJCAI 2019 Deep Multi-Agent Reinforcement Learning with Discrete-Continuous Hybrid Action Spaces Haotian Fu, Hongyao Tang, Jianye Hao, Zihan Lei, Yingfeng Chen, Changjie Fan