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Combined Use of Reinforcement Learning and Simulated Annealing. Algorithms and Applications

Код 909327

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Аннотация к книге "Combined Use of Reinforcement Learning and Simulated Annealing. Algorithms and Applications"

In the dissertation combined reinforcement learning (RL) and simulated annealing (SA) concepts, problems, proposed solutions, algorithms and application examples are shown. RL models a decision maker as a goal-driven agent aiming to reach goal states in the problem representation state space. The agent takes different choices among the numerous possibilities, but each choice can make different impact in the environment. Each decision has some effect being expressed in the form of numeric honor...

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Издательство: Книга по требованию
Дата выхода: июль 2011
ISBN: 978-3-6391-2593-1
Объём: 128 страниц
Масса: 215 г
Размеры(высота, ширина, толщина), см: 23 x 16 x 1

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