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Target Defense against Sequentially Arriving Intruders


Dec 13, 2022
Arman Pourghorban, Michael Dorothy, Daigo Shishika, Alexander Von Moll, Dipankar Maity

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* Presented at the 61st IEEE Conference on Decision and Control - Dec. 6-9, 2022, in Canc\'un, Mexico 

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A Constraint-Driven Approach to Line Flocking: The V Formation as an Energy-Saving Strategy


Sep 23, 2022
Logan E. Beaver, Christopher Kroninger, Michael Dorothy, Andreas A. Malikopoulos

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* 12 pages, 7 figures 

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Survey of Recent Multi-Agent Reinforcement Learning Algorithms Utilizing Centralized Training


Jul 29, 2021
Piyush K. Sharma, Rolando Fernandez, Erin Zaroukian, Michael Dorothy, Anjon Basak, Derrik E. Asher

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* Published at: Proceedings Volume 11746, Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications III; 117462K (2021), SPIE Defense + Commercial Sensing, 2021, Online Only 
* This article appeared in the news at: https://www.army.mil/article/247261/army_researchers_develop_innovative_framework_for_training_ai 

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Differential Flatness as a Sufficient Condition to Generate Optimal Trajectories in Real Time


Mar 04, 2021
Logan E. Beaver, Michael Dorothy, Christopher Kroninger, Andreas A. Malikopoulos

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* 6 pages, 1 figure 

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