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Tianyu Shi (时天宇)
Tytuł
Cytowane przez
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Rok
Comprehensive policy evaluation of NEV development in China, Japan, the United States, and Germany based on the AHP-EW model
Y Ma, T Shi, W Zhang, Y Hao, J Huang, Y Lin
Journal of cleaner production 214, 389-402, 2019
542019
Driving Decision and Control for Autonomous Lane Change based on Deep Reinforcement Learning
T Shi, P Wang, X Cheng, CY Chan
2019 IEEE Intelligent Transportation Systems Conference (ITSC), 2019
52*2019
Efficient Motion Planning for Automated Lane Change based on Imitation Learning and Mixed-Integer Optimization
C Xi, T Shi, Y Wu, L Sun
2020 IEEE International Conference on Intelligent Transportation Systems (ITSC), 2020
7*2020
A Data Driven Method of Optimizing Feedforward Compensator for Autonomous Vehicle
T Shi, P Wang, CY Chan, C Zou
2019 IEEE Intelligent Vehicles Symposium (IV), 2019
6*2019
Towards Efficient Connected and Automated Driving System via Multi-agent Graph Reinforcement Learning
T Shi, J Wang, Y Wu, L Miranda-Moreno, L Sun
arXiv preprint arXiv:2007.02794, 2021
22021
Offline Reinforcement Learning for Autonomous Driving with Safety and Exploration Enhancement
T Shi, D Chen, K Chen, Z Li
NeurIPS 2021 Workshop on Machine Learning for Autonomous Driving, 2021
22021
Multi-agent Graph Reinforcement Learning for Connected Automated Driving
J Wang, T Shi, Y Wu, L Miranda-Moreno, L Sun
2020 International Conference on Machine Learning (ICML), 2020
22020
Pedestrian Trajectory Prediction at Un-Signalized Intersection Using Probabilistic Reasoning and Sequence Learning
Yang Li, Jianqiang Wang, Xiao-Yun Lu, Tianyu Shi, Qing Xu, Keqiang Li
2019 IEEE Intelligent Transportation Systems Conference (ITSC), 2019
22019
Towards Modern Card Games with Large-Scale Action Spaces Through Action Representation
Z Yao, T Shi, S Li, Y Xie, Y Qin, X Xie, H Lu, Y Zhang
2022 IEEE Conference on Games (CoG), 2022
2022
Bilateral Deep Reinforcement Learning Approach for Better-than-human Car Following Model
T Shi, Y Ai, O ElSamadisy, B Abdulhai
2022 IEEE Intelligent Transportation Systems Conference (ITSC), 2022
2022
Efficient Connected and Automated Driving System with Multi-agent graph Reinforcement Learning
Tianyu Shi, Jiawei Wang, Yuankai Wu,Luis Miranda-Moreno, Lijun Sun
Transportation Research Board (TRB) 100th Annual Meeting, 2021
2021
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