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Moraleja 3
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Moralejas
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Petition for nobility status initiated by Miguel de Morales and Andrés de Morales of Mexico City
Petition for nobility status filed by brothers Miguel and Andrés de Morales on their own behalf, and that of their siblings: Josepha de San Miguel, and Nicolás, y Francisco de Morales, all residents of Mexico City. Includes certification of the marriage in 1675 of Miguel de Morales Maldonado (currently alcalde mayor of Tlazasalca), and Josefa de Tovar y Vargas; certified baptismal records of their three children: María Teresa (b. ca. 1677); Juan Antonio (b. 1679), and Francisco (b. 1681); and testimony of six witnesses presented Aug. 21-23, 1685. Description of the Morales lineage reveals that Miguel's father, Nicolás, was the son of one of the early conquistadores, Luis de Morales, who ...
Grokking Deep Reinforcement Learning
Grokking Deep Reinforcement Learning uses engaging exercises to teach you how to build deep learning systems. This book combines annotated Python code with intuitive explanations to explore DRL techniques. You’ll see how algorithms function and learn to develop your own DRL agents using evaluative feedback. Summary We all learn through trial and error. We avoid the things that cause us to experience pain and failure. We embrace and build on the things that give us reward and success. This common pattern is the foundation of deep reinforcement learning: building machine learning systems that explore and learn based on the responses of the environment. Grokking Deep Reinforcement Learning in...
Gracias, Matiox, Thanks, Hermano Pedro
Twenty-nine collected essays represent a critical history of Shakespeare's play as text and as theater, beginning with Samuel Johnson in 1765, and ending with a review of the Royal Shakespeare Company production in 1991. The criticism centers on three aspects of the play: the love/friendship debate.
Espía de Silencios
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Decision Making Under Uncertainty in Electricity Markets
Decision Making Under Uncertainty in Electricity Markets provides models and procedures to be used by electricity market agents to make informed decisions under uncertainty. These procedures rely on well established stochastic programming models, which make them efficient and robust. Particularly, these techniques allow electricity producers to derive offering strategies for the pool and contracting decisions in the futures market. Retailers use these techniques to derive selling prices to clients and energy procurement strategies through the pool, the futures market and bilateral contracting. Using the proposed models, consumers can derive the best energy procurement strategies using the available trading floors. The market operator can use the techniques proposed in this book to clear simultaneously energy and reserve markets promoting efficiency and equity. The techniques described in this book are of interest for professionals working on energy markets, and for graduate students in power engineering, applied mathematics, applied economics, and operations research.
M. Morales
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