2024

ICLR 2024	COPlanner: Plan to Roll Out Conservatively but to Explore Optimistically for Model-Based RL. Xiyao Wang, Ruijie Zheng, Yanchao Sun, Ruonan Jia, Wichayaporn Wongkamjan, Huazhe Xu, and Furong Huang. In International Conference on Learning Representations, 2024 Paper     Code     HTML
ICLR 2024	DrM: Mastering Visual Reinforcement Learning through Dormant Ratio Minimization. Guowei Xu*, Ruijie Zheng*, Yongyuan Liang*, Xiyao Wang, Zhecheng Yuan, Tianying Ji, Yu Luo, Xiaoyu Liu, Jiaxin Yuan, Pu Hua, Shuzhen Li, Yanjie Ze, Hal Daumé III, Furong Huang, and Huazhe Xu. In International Conference on Learning Representations, 2024 Paper     Code     HTML

2023

NeurIPS 2023	TACO: Temporal Latent Action-Driven Contrastive Loss for Visual Reinforcement Learning. Ruijie Zheng, Xiyao Wang, Yanchao Sun, Shuang Ma, Jieyu Zhao, Huazhe Xu, Hal Daumé, and Furong Huang. In Advances in Neural Information Processing Systems, 2023 Paper     Code     HTML
ICML 2023	Live in the Moment: Learning Dynamics Model Adapted to Evolving Policy. Xiyao Wang, Wichayaporn Wongkamjan, Ruonan Jia, and Furong Huang. In the 40th International Conference on Machine Learning, 2023 Paper     Code     HTML
ICLR 2023	Is Model Ensemble Necessary? Model-based RL via a Single Model with Lipschitz Regularized Value Function. Ruijie Zheng*, Xiyao Wang*, Huazhe Xu, and Furong Huang. (* Equal Contribution) In International Conference on Learning Representations, 2022 Paper (Code coming soon!)     HTML

2022

ICLR 2022

Transfer RL across Observation Feature Spaces via Model-Based Regularization. Yanchao Sun, Ruijie Zheng, Xiyao Wang, Andrew Cohen, and Furong Huang. In International Conference on Learning Representations, 2022 Paper     Code     HTML

2021

CVPRW 2021

A Two-branch Neural Network for Non-homogeneous Dehazing via Ensemble Learning. Yankun Yu, Huan Liu, Minghan Fu, Jun Chen, Xiyao Wang, Keyan Wang. In New Trends in Image Restoration and Enhancement Workshop, CVPR 2021 Paper (Code coming soon!)

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