A multiagent framework for learning dynamic traffic management strategies

Author:

Chung Jen Jen,Rebhuhn Carrie,Yates Connor,Hollinger Geoffrey A.,Tumer Kagan

Funder

Ames Research Center

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence

Reference42 articles.

1. Agogino, A. K., & Tumer, K. (2004). Efficient evaluation functions for multi-rover systems. In Genetic and evolutionary computation conference (pp. 1–11).

2. Agogino, A. K., & Tumer, K. (2012). A multiagent approach to managing air traffic flow. Autonomous Agents and Multi-Agent Systems, 24(1), 1–25.

3. Arnott, R., De Palma, A., & Lindsey, R. (1993). A structural model of peak-period congestion: A traffic bottleneck with elastic demand. The American Economic Review, 83, 161–179.

4. Arnott, R., & Kraus, M. (1998). When are anonymous congestion charges consistent with marginal cost pricing? Journal of Public Economics, 67(1), 45–64.

5. Aubert, M. C., Üzümcü, S. C., Hutchins, A. R., & Cummings, M. L. (2015). Toward the development of a low-altitude air traffic control paradigm for networks of small, autonomous unmanned aerial vehicles. In AIAA infotech @ aerospace (pp. 1110–1117).

Cited by 14 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Shrinkable Arm-based eHMI on Autonomous Delivery Vehicle for Effective Communication with Other Road Users;Proceedings of the 16th International Conference on Automotive User Interfaces and Interactive Vehicular Applications;2024-09-11

2. A comprehensive analysis of agent factorization and learning algorithms in multiagent systems;Autonomous Agents and Multi-Agent Systems;2024-06-26

3. Relieving Genetic Programming from Coefficient Learning for Symbolic Regression via Correlation and Linear Scaling;Proceedings of the Genetic and Evolutionary Computation Conference;2023-07-12

4. Novelty Seeking Multiagent Evolutionary Reinforcement Learning;Proceedings of the Genetic and Evolutionary Computation Conference;2023-07-12

5. Leveraging Fitness Critics To Learn Robust Teamwork;Proceedings of the Genetic and Evolutionary Computation Conference;2023-07-12

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3