Search results for " Reinforcement learning"

showing 3 items of 13 documents

A Reinforcement Learning Approach for User Preference-aware Energy Sharing Systems

2021

Energy Sharing Systems (ESS) are envisioned to be the future of power systems. In these systems, consumers equipped with renewable energy generation capabilities are able to participate in an energy market to sell their energy. This paper proposes an ESS that, differently from previous works, takes into account the consumers’ preference, engagement, and bounded rationality. The problem of maximizing the energy exchange while considering such user modeling is formulated and shown to be NP-Hard. To learn the user behavior, two heuristics are proposed: 1) a Reinforcement Learning-based algorithm, which provides a bounded regret and 2) a more computationally efficient heuristic, named BPT- ${K}…

Settore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniMathematical optimizationCorrectnessComputer Networks and CommunicationsRenewable Energy Sustainability and the EnvironmentComputer scienceHeuristicUser modelingRegretBounded rationalityReinforcement learningCoal Energy exchange Energy Sharing Systems Green products Power generation Production Reinforcement Learning Renewable energy sources User Preference Virtual Power PlantsEnergy marketHeuristics
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TERMODINAMICA, CAMPI QUANTICI E FUNZIONI MENTALI

2010

Nel tentativo di fornire spiegazioni esaurienti sul fenomeno della mente umana, il presente saggio scientifico di anatomia comparata e di fisiologia considera alcune tesi di fondo che si collegano a nuovi parametri fisici della realtà che ci circonda.

Settore VET/01 - Anatomia Degli Animali DomesticiNeuroplasticity reinforcement learning dopamine human brain.
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Quantum Machine Learning: A tutorial

2021

This tutorial provides an overview of Quantum Machine Learning (QML), a relatively novel discipline that brings together concepts from Machine Learning (ML), Quantum Computing (QC) and Quantum Information (QI). The great development experienced by QC, partly due to the involvement of giant technological companies as well as the popularity and success of ML have been responsible of making QML one of the main streams for researchers working on fuzzy borders between Physics, Mathematics and Computer Science. A possible, although arguably coarse, classification of QML methods may be based on those approaches that make use of ML in a quantum experimentation environment and those others that take…

SpeedupTheoretical computer scienceQuantum machine learningComputer scienceCognitive NeuroscienceQuantum reinforcement learningQuantum computingFuzzy logicPopularityComputer Science ApplicationsComputational speed-upDevelopment (topology)Artificial IntelligenceQuantum clusteringQuantum informationQuantumQuantum-inspired learning algorithmsQuantum computerQuantum autoencoders
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