MARLEM: A Multi-Agent Reinforcement Learning Simulation Framework for Implicit Cooperation in Decentralized Local Energy Markets

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dc.contributor.authorNelson Salazar-Peña
dc.contributor.authorAlejandra Tabares
dc.contributor.authorAndrés González-Mancera
dc.coverage.spatialBolivia
dc.date.accessioned2026-03-22T20:52:26Z
dc.date.available2026-03-22T20:52:26Z
dc.date.issued2025
dc.identifier.doi10.2139/ssrn.5705203
dc.identifier.urihttps://doi.org/10.2139/ssrn.5705203
dc.identifier.urihttps://andeanlibrary.org/handle/123456789/84578
dc.publisherRELX Group (Netherlands)
dc.relation.ispartofSSRN Electronic Journal
dc.sourceUniversidad de Los Andes
dc.subjectReinforcement learning
dc.subjectComputer science
dc.subjectModular design
dc.subjectGrid
dc.subjectProcess (computing)
dc.subjectSuite
dc.subjectDistributed computing
dc.subjectStability (learning theory)
dc.subjectEnergy market
dc.subjectMarkov decision process
dc.titleMARLEM: A Multi-Agent Reinforcement Learning Simulation Framework for Implicit Cooperation in Decentralized Local Energy Markets
dc.typepreprint

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