Liu, Xiaotian

4 publications

ICLR 2026 Natural Language PDDL (NL-PDDL) for Open-World Goal-Oriented Commonsense Regression Planning in Embodied AI Xiaotian Liu, Armin Toroghi, Jiazhou Liang, David Courtis, Ruiwen Li, Ali Pesaranghader, Jaehong Kim, Tanmana Sadhu, Hyejeong Jeon, Scott Sanner

NeurIPS 2025 ActiveVOO: Value of Observation Guided Active Knowledge Acquisition for Open-World Embodied Lifted Regression Planning Xiaotian Liu, Ali Pesaranghader, Jaehong Kim, Tanmana Sadhu, Hyejeong Jeon, Scott Sanner

AAAI 2025 ModelDiff: Symbolic Dynamic Programming for Model-Aware Policy Transfer in Deep Q-Learning Xiaotian Liu, Jihwan Jeong, Ayal Taitler, Michael Gimelfarb, Scott Sanner

NeurIPS 2024 Sharpness-Diversity Tradeoff: Improving Flat Ensembles with SharpBalance Haiquan Lu, Xiaotian Liu, Yefan Zhou, Qunli Li, Kurt Keutzer, Michael W. Mahoney, Yujun Yan, Huanrui Yang, Yaoqing Yang