ML Anthology

Tao, Yunzhe

7 publications

ICLR 2024 $\mathcal{B}$-Coder: Value-Based Deep Reinforcement Learning for Program Synthesis Zishun Yu, Yunzhe Tao, Liyu Chen, Tao Sun, Hongxia Yang
NeurIPSW 2023 $\mathcal{B}$-Coder: On Value-Based Deep Reinforcement Learning for Program Synthesis Zishun Yu, Yunzhe Tao, Liyu Chen, Tao Sun, Hongxia Yang
ICML 2021 REPAINT: Knowledge Transfer in Deep Reinforcement Learning Yunzhe Tao, Sahika Genc, Jonathan Chung, Tao Sun, Sunil Mallya
NeurIPS 2020 Robust Multi-Agent Reinforcement Learning with Model Uncertainty Kaiqing Zhang, Tao Sun, Yunzhe Tao, Sahika Genc, Sunil Mallya, Tamer Basar
IJCAI 2018 A Reinforced Topic-Aware Convolutional Sequence-to-Sequence Model for Abstractive Text Summarization Li Wang, Junlin Yao, Yunzhe Tao, Li Zhong, Wei Liu, Qiang Du
NeurIPS 2018 Explaining Deep Learning Models -- a Bayesian Non-Parametric Approach Wenbo Guo, Sui Huang, Yunzhe Tao, Xinyu Xing, Lin Lin
NeurIPS 2018 Nonlocal Neural Networks, Nonlocal Diffusion and Nonlocal Modeling Yunzhe Tao, Qi Sun, Qiang Du, Wei Liu