Pushi Zhang (张蒲石)
Researcher, Microsoft Research Asia
Google Scholar | Email: pushizhang@microsoft.com
News
- 2023-11: Our paper Distributional Pareto-Optimal Multi-Objective Reinforcement Learning is accepted by NeurIPS 2023. Our paper IG-Net: Image-Goal Network for Offline Visual Navigation on A Large-Scale Game Map is accepted by Robot Learning Worshop at NeurIPS 2023.
Short Bio
I’m a researcher at Microsoft Research Asia. In my current research, I focus on developing new training methods for vision-based navigation foundation models in games and for behavior foundation models in general embodied AI. Specifically, my research interest includes collecting high-quality datasets for embodied AI, adaptation of foundation models to large scenes with long contexts, and adaptation of foundation models to concrete action space.
Publications
- IG-Net: Image-Goal Network for Offline Visual Navigation on A Large-Scale Game Map
Pushi Zhang*, Baiting Zhu*, Xin-Qiang Cai*, Li Zhao, Masashi Sugiyama, Jiang Bian.
NeurIPS 2023 Robot Learning Workshop [demo] [pdf] - Distributional Pareto-Optimal Multi-Objective Reinforcement Learning
Xin-Qiang Cai*, Pushi Zhang*, Li Zhao, Jiang Bian, Masashi Sugiyama, Ashley J. Llorens.
NeurIPS 2023 [code] [pdf] - Asking Before Action: Gather Information in Embodied Decision Making with Language Models
Xiaoyu Chen, Shenao Zhang, Pushi Zhang, Li Zhao, Jianyu Chen.
Arxiv 2023.5 [pdf] - An Adaptive Deep RL Method for Non-Stationary Environments with Piecewise Stable Context
Xiaoyu Chen, Xiangming Zhu, Yufeng Zheng, Pushi Zhang, Li Zhao, Wenxue Cheng, Peng Cheng, Yongqiang Xiong, Tao Qin, Jianyu Chen, Tie-Yan Liu.
NeurIPS 2022 [pdf] - Distributional Reinforcement Learning for Multi-Dimensional Reward Functions
Pushi Zhang, Xiaoyu Chen, Li Zhao, Wei Xiong, Tao Qin, Tie-Yan Liu.
NeurIPS 2021 [code] [pdf] - Independence-aware Advantage Estimation
Pushi Zhang, Li Zhao, Guoqing Liu, Jiang Bian, Minlie Huang, Tao Qin, Tie-Yan Liu.
IJCAI 2021 [pdf] - Demonstration Actor Critic
Guoqing Liu, Li Zhao, Pushi Zhang, Jiang Bian, Tao Qin, Nenghai Yu, Tie-Yan Liu.
Neurocomputing 2021 [pdf]
About Myself
I love research and hope to do the research work that is beneficial to the world.
Last update: 2024.2.26