Derrik  E. Asher
Derrik E. Asher
Computational Psychologist, DEVCOM ARL
Verified email at - Homepage
Cited by
Cited by
Survey of recent multi-agent reinforcement learning algorithms utilizing centralized training
PK Sharma, R Fernandez, E Zaroukian, M Dorothy, A Basak, DE Asher
Artificial intelligence and machine learning for multi-domain operations …, 2021
Measuring collaborative emergent behavior in multi-agent reinforcement learning
SL Barton, NR Waytowich, E Zaroukian, DE Asher
Human Systems Engineering and Design: Proceedings of the 1st International …, 2019
Reciprocity and retaliation in social games with adaptive agents
DE Asher, A Zaldivar, B Barton, AA Brewer, JL Krichmar
IEEE Transactions on Autonomous Mental Development 4 (3), 226-238, 2012
Simulation of how neuromodulation influences cooperative behavior
A Zaldivar, DE Asher, JL Krichmar
International Conference on Simulation of Adaptive Behavior, 649-660, 2010
On games and simulators as a platform for development of artificial intelligence for command and control
VG Goecks, N Waytowich, DE Asher, S Jun Park, M Mittrick, J Richardson, ...
The Journal of Defense Modeling and Simulation 20 (4), 495-508, 2023
A dynamic, embodied paradigm to investigate the role of serotonin in decision-making
DE Asher, AB Craig, A Zaldivar, AA Brewer, JL Krichmar
Frontiers in Integrative Neuroscience 7, 78, 2013
Effect of neuromodulation on performance in game playing: A modeling study
DE Asher, A Zaldivar, JL Krichmar
2010 IEEE 9th International Conference on Development and Learning, 155-160, 2010
Emotional intelligence engine via the eye
DB Zakariaie, S Thurman, D Asher, J Parzivand
US Patent 10,575,728, 2020
Social contracts and human–computer interaction with simulated adapting agents
AB Craig, DE Asher, N Oros, AA Brewer, JL Krichmar
Adaptive Behavior 21 (5), 371-387, 2013
First-year report of ARL directors strategic initiative (FY20-23): artificial intelligence (AI) for command and control (C2) of multi-domain operations (MDO)
P Narayanan, M Vindiola, S Park, A Logie, N Waytowich, M Mittrick, ...
US Army Combat Capabilities Development Command, Army Research Laboratory, 2021
Multi-agent coordination profiles through state space perturbations
D Asher, M Garber-Barron, S Rodriguez, E Zaroukian, N Waytowich
2019 international conference on computational science and computational …, 2019
Algorithmically identifying strategies in multi-agent game-theoretic environments
E Zaroukian, SS Rodriguez, SL Barton, JA Schaffer, B Perelman, ...
Artificial intelligence and machine learning for multi-domain operations …, 2019
Reinforcement learning framework for collaborative agents interacting with soldiers in dynamic military contexts
SL Barton, D Asher
Next-generation analyst VI 10653, 14-27, 2018
Effect of cooperative team size on coordination in adaptive multi-agent systems
DE Asher, SL Barton, E Zaroukian, NR Waytowich
Artificial intelligence and machine learning for multi-domain operations …, 2019
Evaluating the coordination of agents in multi-agent reinforcement learning
SL Barton, E Zaroukian, DE Asher, NR Waytowich
Intelligent Human Systems Integration 2019: Proceedings of the 2nd …, 2019
Coordination-driven learning in multi-agent problem spaces
SL Barton, NR Waytowich, DE Asher
arXiv preprint arXiv:1809.04918, 2018
Effects of social media involvement, context, and data-type on opinion formation
DE Asher, JP Caylor, AR Neigel
2018 International Workshop on Social Sensing (SocialSens), 32-37, 2018
Adapting the predator-prey game theoretic environment to army tactical edge scenarios with computational multiagent systems
DE Asher, E Zaroukian, SL Barton
arXiv preprint arXiv:1807.05806, 2018
Emergent heterogeneous strategies from homogeneous capabilities in multi-agent systems
R Fernandez, E Zaroukian, JD Humann, B Perelman, MR Dorothy, ...
Advances in Artificial Intelligence and Applied Cognitive Computing …, 2021
Multi-agent collaboration with ergodic spatial distributions
DE Asher, E Zaroukian, B Perelman, J Perret, R Fernandez, B Hoffman, ...
Artificial intelligence and machine learning for multi-domain operations …, 2020
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