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A Reinforcement Learning Method For Power Suppliers Strategic Bidding with Insufficient Information

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Document pages: 4 pages

Abstract: Power suppliers can exercise market power to gain higher profit. However,this becomes difficult when external information is extremely rare. To get apromising performance in an extremely incomplete information marketenvironment, a novel model-free reinforcement learning algorithm based on theLearning Automata (LA) is proposed in this paper. Besides, this paper analysesthe rationality and convergence of the algorithm in case studies based on theCournot market model.

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