Wang, Zizhao

8 publications

NeurIPS 2025 Dyn-O: Building Structured World Models with Object-Centric Representations Zizhao Wang, Kaixin Wang, Li Zhao, Peter Stone, Jiang Bian

AAAI 2024 Building Minimal and Reusable Causal State Abstractions for Reinforcement Learning Zizhao Wang, Caroline Wang, Xuesu Xiao, Yuke Zhu, Peter Stone

NeurIPS 2024 Disentangled Unsupervised Skill Discovery for Efficient Hierarchical Reinforcement Learning Jiaheng Hu, Zizhao Wang, Peter Stone, Roberto Martín-Martín

NeurIPS 2024 SkiLD: Unsupervised Skill Discovery Guided by Factor Interactions Zizhao Wang, Jiaheng Hu, Caleb Chuck, Stephen Chen, Roberto Martín-Martín, Amy Zhang, Scott Niekum, Peter Stone

NeurIPS 2023 ELDEN: Exploration via Local Dependencies Zizhao Wang, Jiaheng Hu, Peter Stone, Roberto Martín-Martín

ICML 2022 Causal Dynamics Learning for Task-Independent State Abstraction Zizhao Wang, Xuesu Xiao, Zifan Xu, Yuke Zhu, Peter Stone

CoRL 2022 Learning to Correct Mistakes: Backjumping in Long-Horizon Task and Motion Planning Yoonchang Sung, Zizhao Wang, Peter Stone

ICLRW 2019 Smoothing Nonlinear Variational Objectives with Sequential Monte Carlo Antonio Moretti, Zizhao Wang, Luhuan Wu, Itsik Pe'er