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Strategic Maneuver and Disruption with Reinforcement Learning Approaches for Multi-Agent Coordination


Mar 17, 2022
Derrik E. Asher, Anjon Basak, Rolando Fernandez, Piyush K. Sharma, Erin G. Zaroukian, Christopher D. Hsu, Michael R. Dorothy, Thomas Mahre, Gerardo Galindo, Luke Frerichs, John Rogers, John Fossaceca

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* 23 pages, 3 figures, 60 references, Review Paper 

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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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Interaction and Autonomy in [email protected] and Building-Wide Intelligence


Oct 06, 2018
Justin Hart, Harel Yedidsion, Yuqian Jiang, Nick Walker, Rishi Shah, Jesse Thomason, Aishwarya Padmakumar, Rolando Fernandez, Jivko Sinapov, Raymond Mooney, Peter Stone

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* Presented at AI-HRI AAAI-FSS, 2018 (arXiv:1809.06606) 

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