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Reward Design for Driver Repositioning Using Multi-Agent Reinforcement Learning
Transportation Research Part C: Emerging Technologies (Transp. Res. Part C), 2020
17 February 2020
Zhenyu Shou
Xuan Di
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Papers citing
"Reward Design for Driver Repositioning Using Multi-Agent Reinforcement Learning"
14 / 14 papers shown
Hypernetwork-based approach for optimal composition design in partially controlled multi-agent systems
Kyeonghyeon Park
David Molina Concha
Hyun-Rok Lee
Chi-Guhn Lee
Taesik Lee
344
0
0
18 Feb 2025
SPO-VCS: An End-to-End Smart Predict-then-Optimize Framework with Alternating Differentiation Method for Relocation Problems in Large-Scale Vehicle Crowd Sensing
Xinyu Wang
Yiyang Peng
Wei Ma
491
1
0
27 Nov 2024
Guiding Reinforcement Learning Using Uncertainty-Aware Large Language Models
Maryam Shoaeinaeini
Brent Harrison
157
1
0
15 Nov 2024
Bayesian Optimization Framework for Efficient Fleet Design in Autonomous Multi-Robot Exploration
David Molina Concha
Jiping Li
Haoran Yin
Kyeonghyeon Park
Hyun-Rok Lee
Taesik Lee
Dhruv Sirohi
Chi-Guhn Lee
406
1
0
21 Aug 2024
Algorithmic Contract Design with Reinforcement Learning Agents
David Molina Concha
Kyeonghyeon Park
Hyun-Rok Lee
Taesik Lee
Chi-Guhn Lee
214
1
0
19 Aug 2024
A Survey of Machine Learning-Based Ride-Hailing Planning
Dacheng Wen
Yupeng Li
F. Lau
214
18
0
26 Mar 2023
A Bibliometric Analysis and Review on Reinforcement Learning for Transportation Applications
Transportmetrica B: Transport Dynamics (TBTD), 2022
Can Li
Mengwei He
L. Yao
S. Waller
Wei Liu
228
24
0
26 Oct 2022
DROP: Deep relocating option policy for optimal ride-hailing vehicle repositioning
Transportation Research Part C: Emerging Technologies (TRC), 2021
Xinwu Qian
Shuocheng Guo
Vaneet Aggarwal
202
23
0
09 Sep 2021
Deep Reinforcement Learning for Demand Driven Services in Logistics and Transportation Systems: A Survey
ACM Transactions on Knowledge Discovery from Data (TKDD), 2021
Zefang Zong
Tao Feng
Tong Xia
Depeng Jin
Yong Li
289
14
0
10 Aug 2021
Reinforcement Learning for Ridesharing: An Extended Survey
Transportation Research Part C: Emerging Technologies (TRC), 2021
Zhiwei Qin
Hongtu Zhu
Jieping Ye
1.1K
117
0
03 May 2021
CVLight: Decentralized Learning for Adaptive Traffic Signal Control with Connected Vehicles
Transportation Research Part C: Emerging Technologies (TRC), 2021
Chengbo Zang
Wangzhi Li
Yongjie Fu
Kangrui Ruan
Xuan Di
397
60
0
21 Apr 2021
Multi-Agent Reinforcement Learning for Markov Routing Games: A New Modeling Paradigm For Dynamic Traffic Assignment
Transportation Research Part C: Emerging Technologies (Transp. Res. Part C), 2020
Zhenyu Shou
Xu Chen
Yongjie Fu
Xuan Di
372
52
0
22 Nov 2020
A Survey on Autonomous Vehicle Control in the Era of Mixed-Autonomy: From Physics-Based to AI-Guided Driving Policy Learning
Transportation Research Part C: Emerging Technologies (Transp. Res. Part C), 2020
Xuan Di
Rongye Shi
378
213
0
10 Jul 2020
Learning How to Dynamically Route Autonomous Vehicles on Shared Roads
Daniel A. Lazar
Erdem Biyik
Dorsa Sadigh
Ramtin Pedarsani
206
58
0
09 Sep 2019
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