Jie Wang

Application of Multi-Agent Deep Reinforcement Learning to Optimize Real-World Traffic Signal Controls

Tian Tan, J. Jasperneite, Maxim Friesen, 2021 .

Multi-Agent Deep Reinforcement Learning For Real-World Traffic Signal Controls - A Case Study

Tian Tan, J. Jasperneite, Maxim Friesen, 2022, 2022 IEEE 20th International Conference on Industrial Informatics (INDIN).

Reinforcement Learning Enhanced New Energy Vehicle Dynamic Subsidy Strategies

Zhenfei Zhan, Jie Wang, Guilin Zhou, 2022, SAE Technical Paper Series.

Robust Representation Learning by Clustering with Bisimulation Metrics for Visual Reinforcement Learning with Distractions

Rui Yang, Jie Wang, Qi Zhou, 2023, AAAI.

Learning Cut Selection for Mixed-Integer Linear Programming via Hierarchical Sequence Model

Feng Wu, Yongdong Zhang, M. Yuan, 2023, ICLR.

Learning to Reformulate for Linear Programming pdf

Kun Mao, Qingyu Qu, Mingxuan Yuan, 2022, ArXiv.

Learning robust representation for reinforcement learning with distractions by reward sequence prediction

Wen-gang Zhou, Houqiang Li, Jie Wang, 2023, Conference on Uncertainty in Artificial Intelligence.

Efficient Exploration in Resource-Restricted Reinforcement Learning

Jie Wang, Zhihai Wang, Qi Zhou, 2022, AAAI.

A learning approach for multi-agent travelling problem with dynamic service requirement in mobile IoT

Junzhou Luo, Chenchen Fu, Vincent Chau, 2022, Comput. Electr. Eng..

An Improved Reinforcement Learning Algorithm for Learning to Branch pdf

Kun Mao, Qingyu Qu, Mingxuan Yuan, 2022, ArXiv.