Multi-agent Deep Reinforcement Learning for Distributed Energy Management and Strategy Optimization of Microgrid Market

Human-level control through deep reinforcement learning

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Computing, Computer Science, Artificial Intelligence +8

Improving deep neural networks for LVCSR using rectified linear units and dropout

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Computing, Computer Science, Computer Vision +14

Nash Q-Learning for General-Sum Stochastic Games

2003 · 917 citations

Social Sciences, Decision Sciences, Decision Theory +16

Tree-Based Batch Mode Reinforcement Learning

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Computing, Computer Science, Machine Learning +10

Peer-to-Peer Energy Trading in a Prosumer-Based Community Microgrid: A Game-Theoretic Model

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Management, Economics, Energy Economics +16