Reward functions for learning to control in air traffic flow management
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Leonardo L. B. V. Cruciol | Leihong Li | Li Weigang | Antonio Marcio Ferreira Crespo | Antonio C. de Arruda | Leihong Li | L. Weigang | Antonio C. de Arruda | A. M. F. Crespo
[1] Lili Wang,et al. SHORT-TERM FLOW MANAGEMENT BASED ON DYNAMIC FLOW PROGRAMMING NETWORK , 2005 .
[2] Gerhard Weiss,et al. Multiagent systems: a modern approach to distributed artificial intelligence , 1999 .
[3] Mark Hansen,et al. A Dynamic Stochastic Model for the Single Airport Ground Holding Problem , 2007, Transp. Sci..
[4] Andrew W. Moore,et al. Reinforcement Learning: A Survey , 1996, J. Artif. Intell. Res..
[5] Chris Watkins,et al. Learning from delayed rewards , 1989 .
[6] Richard S. Sutton,et al. Reinforcement Learning: An Introduction , 1998, IEEE Trans. Neural Networks.
[7] Li Weigang,et al. Intelligent computing methods in Air Traffic Flow Management , 2010 .
[8] Kagan Tumer,et al. Distributed agent-based air traffic flow management , 2007, AAMAS '07.
[9] Weigang Li,et al. Fairness analysis with cost impact for Brasilia's Flight Information Region using reinforcement learning approach , 2010, 13th International IEEE Conference on Intelligent Transportation Systems.
[10] Michael O. Ball,et al. Ground Delay Program Planning under Uncertainty Based on the Ration-by-Distance Principle , 2007, Transp. Sci..
[11] Lucio Bianco,et al. New concepts and methods in air traffic management , 2001 .
[12] Amedeo R. Odoni,et al. Dynamic solution to the ground-holding problem in air traffic control , 1994 .
[13] Andrew G. Barto,et al. Improving Elevator Performance Using Reinforcement Learning , 1995, NIPS.
[14] A. Odoni. The Flow Management Problem in Air Traffic Control , 1987 .
[15] Kagan Tumer,et al. Learning Indirect Actions in Complex Domains: Action Suggestions for Air Traffic Control , 2009, Adv. Complex Syst..
[16] Gerald Tesauro,et al. Temporal difference learning and TD-Gammon , 1995, CACM.
[17] Mark Hansen,et al. Scenario-based air traffic flow management: From theory to practice , 2008 .
[18] Balázs Kotnyek,et al. Equitable Models for the Stochastic Ground-Holding Problem Under Collaborative Decision Making , 2006, Transp. Sci..
[19] Amedeo R. Odoni,et al. A Stochastic Integer Program with Dual Network Structure and Its Application to the Ground-Holding Problem , 2003, Oper. Res..
[20] Maarten Sierhuis,et al. A Multi-Agent Simulation of Collaborative Air Traffic Flow Management , 2009, Multi-Agent Systems for Traffic and Transportation Engineering.
[21] Li Weigang,et al. Balance Modelling and Implementation of Flow Balance for Application in Air Traffic Management , 2010 .
[22] Hartmut Fricke,et al. Air traffic control complexity as workload driver , 2010 .
[23] Manuela M. Veloso,et al. Multiagent Systems: A Survey from a Machine Learning Perspective , 2000, Auton. Robots.
[24] Shawn R. Wolfe. Supporting Air Traffic Flow Management with Agents , 2007, Interaction Challenges for Intelligent Assistants.
[25] Alexandre G. de Barros,et al. Reinforcement learning agents to tactical air traffic flow management , 2012 .
[26] Alexandre M. Bayen,et al. Lagrangian Delay Predictive Model for Sector-Based Air Traffic Flow , 2005 .
[27] Peter Norvig,et al. Artificial Intelligence: A Modern Approach , 1995 .
[28] Li Weigang,et al. Approach of Balancing of the Negotiation among Agents in Traffic Synchronization , 2007, IEEE Latin America Transactions.
[29] Lance Sherry,et al. Automation for task analysis of next generation air traffic management systems , 2010 .