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Emergent Behaviors in Multi-Agent Target Acquisition


Dec 15, 2022
Piyush K. Sharma, Erin Zaroukian, Derrik E. Asher, Bryson Howell

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* Published in:Proceedings Volume 12113, Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications IV; 1211314 (6 June 2022), SPIE Defense + Commercial Sensing, 2022, Orlando, Florida, United States 
* This article appeared in the news at: https://www.army.mil/article/258408/u_s_army_scientists_invent_a_method_to_characterize_ai_behavior 

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Learning to Guide Multiple Heterogeneous Actors from a Single Human Demonstration via Automatic Curriculum Learning in StarCraft II


May 11, 2022
Nicholas Waytowich, James Hare, Vinicius G. Goecks, Mark Mittrick, John Richardson, Anjon Basak, Derrik E. Asher

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* Submitted to the 2022 SPIE Defense + Commercial Sensing (DCS) Conference on "Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications IV" 

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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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On games and simulators as a platform for development of artificial intelligence for command and control


Oct 21, 2021
Vinicius G. Goecks, Nicholas Waytowich, Derrik E. Asher, Song Jun Park, Mark Mittrick, John Richardson, Manuel Vindiola, Anne Logie, Mark Dennison, Theron Trout, Priya Narayanan, Alexander Kott

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* Preprint submitted to the Journal of Defense Modeling and Simulation (JDMS) for peer review 

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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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On Memory Mechanism in Multi-Agent Reinforcement Learning


Sep 11, 2019
Yilun Zhou, Derrik E. Asher, Nicholas R. Waytowich, Julie A. Shah

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Coordination-driven learning in multi-agent problem spaces


Sep 13, 2018
Sean L. Barton, Nicholas R. Waytowich, Derrik E. Asher

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* AAAI Fall Symposium 2018, Concept Paper 

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