no code implementations • NeurIPS 2020 • Jiayang Li, Jing Yu, Yu, Nie, Zhaoran Wang
In this paper, we provide a unified framework for learning and intervention in games.
no code implementations • 4 Oct 2021 • Boyi Liu, Jiayang Li, Zhuoran Yang, Hoi-To Wai, Mingyi Hong, Yu Marco Nie, Zhaoran Wang
To regulate a social system comprised of self-interested agents, economic incentives are often required to induce a desirable outcome.
1 code implementation • 15 Sep 2022 • Jiayang Li, Jing Yu, Qianni Wang, Boyi Liu, Zhaoran Wang, Yu Marco Nie
A Stackelberg congestion game (SCG) is a bilevel program in which a leader aims to maximize their own gain by anticipating and manipulating the equilibrium state at which followers settle by playing a congestion game.
no code implementations • 5 Apr 2023 • Jiayang Li, Zhaoran Wang, Yu Marco Nie
We achieve this result by developing a day-to-day (DTD) dynamical model that mimics how travelers gradually adjust their route valuations, hence choice probabilities, based on past experiences.
1 code implementation • 2 Dec 2023 • Jiayang Li, Xuan Feng, Tianlong Gu, Liang Chang
In particular, the DTDBD consists of an unbiased teacher and a clean teacher that jointly guide the student model in mitigating domain bias and maintaining performance.
no code implementations • 17 Apr 2024 • Jiayang Li, Junjun Jiang, Pengwei Liang, Jiayi Ma
Instead of being driven by downstream tasks, our model utilizes a pretrained encoder from Masked Autoencoders (MAE), which facilities the omni features extraction for low-level reconstruction and high-level vision tasks, to obtain perception friendly features with a low cost.