Zheng Yuan

Confidence Estimation Transformer for Long-term Renewable Energy Forecasting in Reinforcement Learning-based Power Grid Dispatching

L. Li, Zihao Li, Xinhang Li, 2022, ArXiv.

An Opponent-Aware Reinforcement Learning Method for Team-to-Team Multi-Vehicle Pursuit via Maximizing Mutual Information Indicator

Xinhang Li, Zheng Yuan, Qinwen Wang, 2022, 2022 18th International Conference on Mobility, Sensing and Networking (MSN).

Hierarchical Trajectory Planning for Narrow-Space Automated Parking with Deep Reinforcement Learning: A Federated Learning Scheme

Lei Li, Xinhang Li, Zheng Yuan, 2023, Sensors.

Density-Aware Federated Imitation Learning for Connected and Automated Vehicles with Unsignalized Intersection pdf

Tianhao Wu, Mingzhi Jiang, Yinhui Han, 2021, ArXiv.

A Traffic-Aware Federated Imitation Learning Framework for Motion Control at Unsignalized Intersections with Internet of Vehicles

Xinhang Li, Zheng Yuan, Tianhao Wu, 2021, Electronics.

Progression Cognition Reinforcement Learning with Prioritized Experience for Multi-Vehicle Pursuit

Lei Li, Xinhang Li, Zheng Yuan, 2023, ArXiv.

Graded-Q Reinforcement Learning with Information-Enhanced State Encoder for Hierarchical Collaborative Multi-Vehicle Pursuit

Xinhang Li, Zheng Yuan, Qinwen Wang, 2022, 2022 18th International Conference on Mobility, Sensing and Networking (MSN).

Distributed Generative Multi-Adversarial Reinforcement Learning for Multi-Vehicle Pursuit

L. Li, Xinhang Li, Zheng Yuan, 2023 .

DP-YOLOv5: Computer Vision-Based Risk Behavior Detection in Power Grids

Yubo Zheng, Xikang Jiang, Zhe Wang, 2021, PRCV.