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Published in 2020 at "Data Mining and Knowledge Discovery"
DOI: 10.1007/s10618-020-00705-9
Abstract: Given the large pitch, numerous players, limited player turnovers, and sparse scoring, soccer is arguably the most challenging to analyze of all the major team sports. In this work, we develop a new approach to…
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Keywords:
function;
value function;
soccer;
action value ... See more keywords
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Published in 2021 at "IEEE transactions on neural networks and learning systems"
DOI: 10.1109/tnnls.2021.3105869
Abstract: Multiagent reinforcement learning methods, such as VDN, QMIX, and QTRAN, that adopt centralized training with decentralized execution (CTDE) framework have shown promising results in cooperation and competition. However, in some multiagent scenarios, the number of…
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Keywords:
action value;
action;
multiagent reinforcement;
reinforcement learning ... See more keywords
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Published in 2022 at "PLoS ONE"
DOI: 10.1371/journal.pone.0273376
Abstract: In this study, we merged methods from engineering control theory, machine learning, and human neuroimaging to critically test the putative role of the dorsal anterior cingulate cortex (dACC) in goal-directed performance monitoring during an emotion…
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Keywords:
action value;
performance monitoring;
regulation;
emotion regulation ... See more keywords
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Published in 2018 at "Environmental Engineering and Management Journal"
DOI: 10.30638/eemj.2018.258
Abstract: Within this study a total content of 20 elements was determined in 25 soil samples taken from the vicinity of the “Buchim” mine, Republic of Macedonia, covering an area of 14.2 km 2 . The…
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Keywords:
republic macedonia;
mine republic;
action value;
factor ... See more keywords