- 2024
- Wanyuan Wang, Qian Che, Yifeng Zhou, Weiwei Wu, Bo An, Yichuan Jiang:
Offline policy reuse-guided anytime online collective multiagent planning and its application to mobility-on-demand systems. Auton. Agents Multi Agent Syst. 38(1): 19 (2024) - Gesine A. Steudle
, Stefanie Winkelmann, Steffen Fürst, Sarah Wolf:
Understanding Memory Mechanisms in Socio-Technical Systems: the Case of an Agent-based Mobility Model. Adv. Complex Syst. 27(3): 2440003:1-2440003:25 (2024) - Cyrine Chenaoui, Nicolas Marilleau, Slimane Ben Miled:
Towards a generic agent-based vector-host model: effects of carrying capacity and host mobility. Appl. Netw. Sci. 9(1): 33 (2024) - Soohyun Park, Jae Pyoung Kim, Chanyoung Park, Soyi Jung, Joongheon Kim:
Quantum Multi-Agent Reinforcement Learning for Autonomous Mobility Cooperation. IEEE Commun. Mag. 62(6): 106-112 (2024) - Yirun Wang, Yongqing Wang, Yuyao Shen, Chintha Tellambura:
Direct Localization and Synchronization for High-Mobility Agents With Frequency Shifts in MIMO-OFDM Systems. IEEE Internet Things J. 11(10): 17050-17066 (2024) - Hadi Ghaemi, Dariush Abbasinezhad-Mood, Arezou Ostad-Sharif, Zakieh Alizadehsani:
Novel blockchain-assisted fault-tolerant roaming authentication protocol for mobility networks without home agent entanglement. J. Netw. Comput. Appl. 224: 103843 (2024) - Haoxuan Ma, Yifan Liu, Qinhua Jiang, Brian Yueshuai He, Xishun Liao, Jiaqi Ma:
Mobility AI Agents and Networks. IEEE Trans. Intell. Veh. 9(7): 5124-5129 (2024) - Bingyi Xia, Peijia Xie, Jiankun Wang:
Smart Mobility With Agent-Based Foundation Models: Towards Interactive and Collaborative Intelligent Vehicles. IEEE Trans. Intell. Veh. 9(7): 5130-5133 (2024) - Bibo Zhang, Ilario Filippini:
Mobility-Aware Resource Allocation for mmWave IAB Networks: A Multi-Agent Reinforcement Learning Approach. IEEE/ACM Trans. Netw. 32(4): 3559-3574 (2024) - Guolin Sun, Gordon Owusu Boateng, Kai Liu, Daniel Ayepah-Mensah, Guisong Liu:
Dynamic Pricing for Vehicle Dispatching in Mobility-as-a-Service Market via Multi-Agent Deep Reinforcement Learning. IEEE Trans. Veh. Technol. 73(8): 12010-12025 (2024) - Soohyun Park, Gyu Seon Kim, Soyi Jung, Joongheon Kim:
Quantum Multi - Agent Reinforcement Learning Software Design and Visual Simulations for Multi - Drone Mobility Control. APWCS 2024: 1-5 - Jiyao Li, Vicki H. Allan:
Agent Guidance in Autonomous Mobility on Demand Systems: An Approach Utilizing Priority Double Deep-Q-Networks. CCWC 2024: 291-300 - Marcel Mauri, Ömer Ibrahim Erduran, Mirjam Minor:
Jadex BDI Agents Integrated with MATSim for Autonomous Mobility on Demand. EMAS 2024: 125-143 - Jiyao Li, Vicki H. Allan:
Multiple Agents Dispatch via Batch Synchronous Actor Critic in Autonomous Mobility on Demand Systems. ICAART (2) 2024: 198-209 - Heiko Hoppe, Tobias Enders, Quentin Cappart, Maximilian Schiffer:
Global rewards in multi-agent deep reinforcement learning for autonomous mobility on demand systems. L4DC 2024: 260-272 - Jiawei Wang, Renhe Jiang, Chuang Yang, Zengqing Wu, Makoto Onizuka, Ryosuke Shibasaki, Chuan Xiao:
Large Language Models as Urban Residents: An LLM Agent Framework for Personal Mobility Generation. CoRR abs/2402.14744 (2024) - Zeno Woywood, Jasper I. Wiltfang, Julius Luy, Tobias Enders, Maximilian Schiffer:
Multi-Agent Soft Actor-Critic with Global Loss for Autonomous Mobility-on-Demand Fleet Control. CoRR abs/2404.06975 (2024) - Jie Feng, Yuwei Du, Jie Zhao, Yong Li:
AgentMove: Predicting Human Mobility Anywhere Using Large Language Model based Agentic Framework. CoRR abs/2408.13986 (2024) - Haowen Xu, Jinghui Yuan, Anye Zhou, Guanhao Xu, Wan Li, Xuegang Ban, Xinyue Ye:
GenAI-powered Multi-Agent Paradigm for Smart Urban Mobility: Opportunities and Challenges for Integrating Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) with Intelligent Transportation Systems. CoRR abs/2409.00494 (2024) - 2023
- Tarek Chouaki:
Agent-based simulations of intermodal mobility-on-demand systems operated by reinforcement learning. (Simulations multi-agent de systèmes de mobilité à la demande intermodaux opérés par des algorithmes à base d'apprentissage par renforcement). University of Paris-Saclay, France, 2023 - Cheng Huang, Ivan Petrunin, Antonios Tsourdos:
Strategic Conflict Management using Recurrent Multi-agent Reinforcement Learning for Urban Air Mobility Operations Considering Uncertainties. J. Intell. Robotic Syst. 107(2): 20 (2023) - Simon Plakolb, Nikita Strelkovskii:
Applicability of the Future State Maximization Paradigm to Agent-Based Modeling: A Case Study on the Emergence of Socially Sub-Optimal Mobility Behavior. Syst. 11(2): 105 (2023) - Jonatan J. Gómez Vilchez, Roberto Pasqualino:
The Hidden Side of Electro-Mobility: Modelling Agents' Financial Statements and Their Interactions with a European Focus. Syst. 11(3): 132 (2023) - Man Luo, Bowen Du, Wenzhe Zhang, Tianyou Song, Kun Li, Hongming Zhu, Mark H. Birkin, Hongkai Wen:
Fleet Rebalancing for Expanding Shared e-Mobility Systems: A Multi-Agent Deep Reinforcement Learning Approach. IEEE Trans. Intell. Transp. Syst. 24(4): 3868-3881 (2023) - Chanyoung Park, Gyu Seon Kim, Soohyun Park, Soyi Jung, Joongheon Kim:
Multi-Agent Reinforcement Learning for Cooperative Air Transportation Services in City-Wide Autonomous Urban Air Mobility. IEEE Trans. Intell. Veh. 8(8): 4016-4030 (2023) - Lucia Cipolina-Kun:
Enhancing Smart, Sustainable Mobility with Game Theory and Multi-Agent Reinforcement Learning With Applications to Ridesharing. AAAI 2023: 16113-16114 - Lucia Cipolina-Kun:
Enhancing Smart, Sustainable Mobility with Game Theory and Multi-Agent Reinforcement Learning. AAMAS 2023: 3035-3037 - Han Zhao, Shiyun Shao, Yong Ma, Yunni Xia, Jiajun Su, Lingmeng Liu, Kaiwei Chen, Qinglan Peng:
A Multi-Agent Deep Reinforcement Learning-Based Approach to Mobility-Aware Caching. CollaborateCom (2) 2023: 79-95 - Ramin Ahadi, Anna Taudien, Wolfgang Ketter:
Human versus automated agents: how user preferences affect future mobility systems. ECIS 2023 - Aliyu Tanko Ali, Martin Leucker, Andreas Schuldei, Leonard Stellbrink, Martin Sachenbacher:
A Comparative Analysis of Multi-agent Simulation Platforms for Energy and Mobility Management. EUMAS 2023: 295-311
