Gao, Hao

5 publications

NeurIPS 2025 RAD: Training an End-to-End Driving Policy via Large-Scale 3DGS-Based Reinforcement Learning Hao Gao, Shaoyu Chen, Bo Jiang, Bencheng Liao, Yiang Shi, Xiaoyang Guo, Yuechuan Pu, Haoran Yin, Xiangyu Li, Xinbang Zhang, Ying Zhang, Wenyu Liu, Qian Zhang, Xinggang Wang

ICML 2024 Adaptive Advantage-Guided Policy Regularization for Offline Reinforcement Learning Tenglong Liu, Yang Li, Yixing Lan, Hao Gao, Wei Pan, Xin Xu

JMLR 2024 Boundary Constrained Gaussian Processes for Robust Physics-Informed Machine Learning of Linear Partial Differential Equations David Dalton, Alan Lazarus, Hao Gao, Dirk Husmeier

ICML 2024 Physics and Lie Symmetry Informed Gaussian Processes David Dalton, Dirk Husmeier, Hao Gao

NeurIPSW 2022 PCRL: Priority Convention Reinforcement Learning for Microscopically Sequencable Multi-Agent Problems Xing Zhou, Hao Gao, Xin Xu, Xinglong Zhang, Hongda Jia, Dongzi Wang