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The idea that a concept is properly learned by an agent when the agent is able to generate examples and non-examples of the concept, has motivated research on generative models. Generative models are trained with the aim of improving performance of tasks such as classification. In this paper, a Long Short Term Memory (LSTM) architecture for simultaneous generation-classification is presented. The...
This paper presents a micro-grid simulator tool useful for implementing and testing multi-agent controllers (SGridSim). As a common engineering practice it is important to have a tool that simplifies the modeling of the salient features of a desired system. In electric micro-grids, these salient features are the voltage and power distributions within the micro-grid. Current simplified electric power...
This paper presents a Direct Utility Adaptive Critic (DUAC) algorithm applied to a power plant load management problem. The DUAC algorithm is an enhancement of the original Heuristic Dynamic Programming (HDP) Adaptive Critic Design (ACD) algorithm into a simpler and more robust controller. Typical ACD algorithms model dynamic systems with time-delayed states and action inputs and due to this the Action...
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