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Integrating Motivated Learning and k-Winner-Take-All to Coordinate Multi-agent Reinforcement Learning.

, , , , and . WI-IAT (3), page 190-197. IEEE Computer Society, (2014)978-1-4799-4143-8.

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A Biopsychically Inspired Cognitive System for Intelligent Agents in Aerospace Applications., , , , , and . Infotech@Aerospace, (2012)Motivated learning in autonomous systems., and . IJCNN, page 603-610. IEEE, (2011)Optimized Approximation Algorithm in Neural Networks Without Overfitting., , and . IEEE Trans. Neural Networks, 19 (6): 983-995 (2008)Episodic Memory in Minicolumn Associative Knowledge Graphs., , and . IEEE Trans. Neural Networks Learn. Syst., 30 (11): 3505-3516 (2019)Sequence recognition with spatio-temporal long-term memory organization., , and . IJCNN, page 1-8. IEEE, (2012)Hybrid Pipeline Structure for Self-Organizing Learning Array., , and . ISNN (2), volume 4492 of Lecture Notes in Computer Science, page 956-964. Springer, (2007)Online Dynamic Value System for Machine Learning., and . ISNN (1), volume 4491 of Lecture Notes in Computer Science, page 441-448. Springer, (2007)ASA-graphs for efficient data representation and processing., , and . Int. J. Appl. Math. Comput. Sci., 30 (4): 717-731 (2020)Integrating Motivated Learning and k-Winner-Take-All to Coordinate Multi-agent Reinforcement Learning., , , , and . WI-IAT (3), page 190-197. IEEE Computer Society, (2014)978-1-4799-4143-8.Lumped mini-column associative knowledge graphs., , and . SSCI, page 1-8. IEEE, (2017)