Xiyao Wang

Transfer RL across Observation Feature Spaces via Model-Based Regularization

Furong Huang, Andrew Cohen, Yanchao Sun, 2022, ICLR.

Live in the Moment: Learning Dynamics Model Adapted to Evolving Policy

Furong Huang, Wichayaporn Wongkamjan, Xiyao Wang, 2022, ArXiv.

Collaborative Work in Augmented Reality: A Survey

Tobias Isenberg, Michael J. McGuffin, Mickael Sereno, 2020, IEEE Transactions on Visualization and Computer Graphics.

Towards an Understanding of Augmented Reality Extensions for Existing 3D Data Analysis Tools

Tobias Isenberg, Lonni Besançon, Mehdi Ammi, 2020, CHI.

Live in the Moment: Learning Dynamics Model Adapted to Evolving Policy

Furong Huang, Wichayaporn Wongkamjan, Xiyao Wang, 2022, ICML.

Is Model Ensemble Necessary? Model-based RL via a Single Model with Lipschitz Regularized Value Function

Furong Huang, Huazhe Xu, Ruijie Zheng, 2023, ICLR.

TACO: Temporal Latent Action-Driven Contrastive Loss for Visual Reinforcement Learning

Furong Huang, Huazhe Xu, Shuang Ma, 2023, arXiv.org.

Planning with Exploration: Addressing Dynamics Bottleneck in Model-based Reinforcement Learning pdf

Junge Zhang, Wenzhen Huang, Qiyue Yin, 2020, ArXiv.

Understanding differences between combinations of 2D and 3D input and output devices for 3D data visualization

M. Ammi, Tobias Isenberg, Lonni Besançon, 2022, Int. J. Hum. Comput. Stud..

TACO: Temporal Latent Action-Driven Contrastive Loss for Visual Reinforcement Learning

Huazhe Xu, Shuang Ma, Jieyu Zhao, 2023, NeurIPS.