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Publication search results
found 303 matches
- 2024
- 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 - Jiyao Li, Vicki H. Allan:
Multiple Agents Dispatch via Batch Synchronous Actor Critic in Autonomous Mobility on Demand Systems. ICAART (2) 2024: 198-209 - 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) - 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 - Ruixuan Han, Summer Li, Eric J. Knoblock, Michael R. Gasper, Hongxiang Li, Rafael D. Apaza:
Joint Communication Resource Allocation and Velocity Optimization in Advanced Air Mobility via Multi-Agent Reinforcement Learning. GLOBECOM 2023: 1501-1506 - Chanyoung Park, Soohyun Park, Gyu Seon Kim, Soyi Jung, Jae-Hyun Kim, Joongheon Kim:
Multi-Agent Deep Reinforcement Learning for Efficient Passenger Delivery in Urban Air Mobility. ICC 2023: 5689-5694 - Christoph Schaefer, Florian Schlottmann, Stefan Zimmermann:
High Kinetic Energy Ion Mobility Spectrometry: A Promising Approach for Fast and Reliable Detection of Chemical Warfare Agents. SENSORS 2023: 1-4 - Sihong He, Shuo Han, Fei Miao:
Robust Electric Vehicle Balancing of Autonomous Mobility-on-Demand System: A Multi-Agent Reinforcement Learning Approach. IROS 2023: 5471-5478 - Tobias Enders, James Harrison, Marco Pavone, Maximilian Schiffer:
Hybrid Multi-agent Deep Reinforcement Learning for Autonomous Mobility on Demand Systems. L4DC 2023: 1284-1296 - Marcel Mauri, Ömer Ibrahim Erduran, Thu Pham Dieu Anh, Mirjam Minor:
Integrating BDI Agents with the MATSim Traffic Simulation for Autonomous Mobility on Demand. LWDA 2023: 247-258 - Fabrizio Pecoraro, Filippo Accordino, Federico Cecconi, Mario Paolucci:
Agent Based Modelling for Simulating the Interregional Patient Mobility in Italy. MIE 2023: 297-301 - Malintha Fernando, Ransalu Senanayake, Heeyoul Choi, Martin Swany:
Graph Attention Multi-Agent Fleet Autonomy for Advanced Air Mobility. Robotics: Science and Systems 2023 - Malintha Fernando, Ransalu Senanayake, Heeyoul Choi, Martin Swany:
Graph Attention Multi-Agent Fleet Autonomy for Advanced Air Mobility. CoRR abs/2302.07337 (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. CoRR abs/2306.04137 (2023) - Sihong He, Shuo Han, Fei Miao:
Robust Electric Vehicle Balancing of Autonomous Mobility-On-Demand System: A Multi-Agent Reinforcement Learning Approach. CoRR abs/2307.16228 (2023) - Soohyun Park, Jae Pyoung Kim, Chanyoung Park, Soyi Jung, Joongheon Kim:
Quantum Multi-Agent Reinforcement Learning for Autonomous Mobility Cooperation. CoRR abs/2308.01519 (2023) - Heiko Hoppe, Tobias Enders, Quentin Cappart, Maximilian Schiffer:
Global Rewards in Multi-Agent Deep Reinforcement Learning for Autonomous Mobility on Demand Systems. CoRR abs/2312.08884 (2023) - 2022
- Aleksandr Saprykin:
Application of Heterogeneous CPU-GPU Hardware for Large-Scale Agent-Based Mobility Simulations. ETH Zurich, Zürich, Switzerland, 2022 - Mahdi Zargayouna:
On the Use of the Multi-Agent Environment for Mobility Applications. Future Internet 14(5): 132 (2022) - Pasqual Martí, Jaume Jordán, Javier Palanca, Vicente Julián:
Charging stations and mobility data generators for agent-based simulations. Neurocomputing 484: 196-210 (2022) - Anna Pagani, Francesco Ballestrazzi, Emanuele Massaro, Claudia R. Binder:
ReMoTe-S. Residential Mobility of Tenants in Switzerland: An Agent-Based Model. J. Artif. Soc. Soc. Simul. 25(2) (2022)
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