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Nash-reinforcement learning (N-RL) for developing coordination strategies in non-transferable utility games
Uppsala University, Disciplinary Domain of Science and Technology, Earth Sciences, Department of Earth Sciences, LUVAL. University of Melbourne.ORCID iD: 0000-0003-1149-5080
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2014 (English)In: 2014 IEEE International Conference on Systems, Man, and Cybernetics (SMC)Article in journal (Refereed) Published
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2014.
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Oceanography, Hydrology and Water Resources
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URN: urn:nbn:se:uu:diva-484157DOI: 10.1109/smc.2014.6974336OAI: oai:DiVA.org:uu-484157DiVA, id: diva2:1693765
Available from: 2022-09-07 Created: 2022-09-07 Last updated: 2022-09-07

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Khatami, Sina
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