Search Results for author: Zhiyuan Wang

Found 6 papers, 2 papers with code

AACC: Asymmetric Actor-Critic in Contextual Reinforcement Learning

no code implementations3 Aug 2022 Wangyang Yue, Yuan Zhou, Xiaochuan Zhang, Yuchen Hua, Zhiyuan Wang, Guang Kou

Various methods, such as domain randomization, have been proposed to deal with such situations by training agents under different environmental setups, and therefore they can be generalized to different environments during deployment.

reinforcement-learning

Graph Neural Networks in IoT: A Survey

1 code implementation29 Mar 2022 Guimin Dong, Mingyue Tang, Zhiyuan Wang, Jiechao Gao, Sikun Guo, Lihua Cai, Robert Gutierrez, Bradford Campbell, Laura E. Barnes, Mehdi Boukhechba

The Internet of Things (IoT) boom has revolutionized almost every corner of people's daily lives: healthcare, home, transportation, manufacturing, supply chain, and so on.

Autonomous Vehicles

Socially-Optimal Mechanism Design for Incentivized Online Learning

no code implementations29 Dec 2021 Zhiyuan Wang, Lin Gao, Jianwei Huang

Multi-arm bandit (MAB) is a classic online learning framework that studies the sequential decision-making in an uncertain environment.

Decision Making Edge-computing +2

From Personalized Medicine to Population Health: A Survey of mHealth Sensing Techniques

no code implementations2 Jul 2021 Zhiyuan Wang, Haoyi Xiong, Jie Zhang, Sijia Yang, Mehdi Boukhechba, Laura E. Barnes, Daqing Zhang, Dejing Dou

Mobile Sensing Apps have been widely used as a practical approach to collect behavioral and health-related information from individuals and provide timely intervention to promote health and well-beings, such as mental health and chronic cares.

Enhance the performance of navigation: A two-stage machine learning approach

no code implementations2 Apr 2020 Yimin Fan, Zhiyuan Wang, Yuanpeng Lin, Haisheng Tan

We model the traffic flow as a time series and apply XGBoost algorithm to get accurate predictions on future traffic conditions(1st stage).

BIG-bench Machine Learning Ensemble Learning +1

PointPWC-Net: A Coarse-to-Fine Network for Supervised and Self-Supervised Scene Flow Estimation on 3D Point Clouds

1 code implementation27 Nov 2019 Wenxuan Wu, Zhiyuan Wang, Zhuwen Li, Wei Liu, Li Fuxin

We propose a novel end-to-end deep scene flow model, called PointPWC-Net, on 3D point clouds in a coarse-to-fine fashion.

Scene Flow Estimation

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