About Me
I am a Ph.D student in Institute for Interdisciplinary Information Science (IIIS) at Tsinghua University, advised by Prof. Yang Gao. I received my bachelor degree from the School of Software in Tsinghua University, under the supervision of Prof. Mingsheng Long and Prof. Feng Xu .
My interest lies in sample efficient policy learning, include Model-based RL, large models for decision-making, and robot learning etc.
Publications
EfficientZero V2: Mastering Discrete and
Continuous Control with Limited Data
Shengjie Wang*, Shaohuai Liu*, Weirui Ye*, Jiacheng You, Yang Gao
arXiv preprint 2024
[Arxiv]
Seer: Language Instructed Video Prediction
with Latent Diffusion Models
Xianfan Gu, Chuan Wen, Weirui Ye, Jiaming Song, Yang Gao
ICLR 2024
[Arxiv]
Foundation Reinforcement Learning: towards Embodied
Generalist Agents with Foundation Prior Assistance
Weirui Ye, Yunsheng Zhang, Mengchen Wang, Shengjie Wang, Xianfan Gu,
Pieter Abbeel, Yang Gao
arXiv preprint 2023
[Arxiv]
[Website]
Real-time Scheduling of Renewable Power Systems
through Planning-based Reinforcement Learning
Shaohuai Liu*, Jinbo Liu*, Weirui Ye, ... , Fangchun Di*, Yang Gao*
arXiv preprint 2023
[Arxiv]
Become a Proficient Player with Limited Data
through Watching Pure Videos
Weirui Ye*, Yunsheng Zhang*, Pieter Abbeel, Yang Gao
ICLR 2023
[PDF]
SpeedyZero: Mastering Atari with
Limited Data and Time
Yixuan Mei*, Jiaxuan Gao*, Weirui Ye, Shaohuai Liu, Yang Gao, Yi Wu
ICLR 2023
[PDF]
Spending Thinking Time Wisely:
Accelerating MCTS with Virtual Expansions
Weirui Ye, Pieter Abbeel, Yang Gao
NeurIPS 2022
[PDF]
Planning for Sample Efficient Imitation Learning
Zhao-Heng Yin, Weirui Ye, Qifeng Chen, Yang Gao
NeurIPS 2022
[Arxiv]
Mastering Atari Games with Limited Data
Weirui Ye, Shaohuai Liu, Thanard Kurutach, Pieter Abbeel, Yang Gao
NeurIPS 2021
[Website]
[Arxiv]
[PDF]
[Code]
Simultaneous Learning of Pivots and Representations for
Cross-domain Sentiment Classification
Liang Li, Weirui Ye, Mingsheng Long, Yateng Tang, Jin Xu, Jianmin Wang
AAAI 2020
[PDF]
