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<title><![CDATA[Comentarios al libro: SIMULATION-BASED ALGORITHMS FOR MARKOV DECISION PROCESSES]]></title>
<link><![CDATA[https://www.biblioeteca.com/biblioeteca.web/titulo/simulation-based-algorithms-for-markov-decision-processes]]></link>
<description><![CDATA[Markov decision process (MDP) models are widely used for modeling sequential decision-making problems that arise in engineering, economics, computer science, and the social sciences. This book brings the state-of-the-art research together for the first time. It provides practical modeling methods for many real-world problems with high dimensionality or complexity which have not hitherto been treatable with Markov decision processes.]]></description>
<lastBuildDate>Mon, 31 Aug 2026 10:37:17 +0000</lastBuildDate>
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<copyright>Copyright 202 6BiblioEteca Technologies SL</copyright>
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<title><![CDATA[#1 SIMULATION-BASED ALGORITHMS FOR MARKOV DECISION PROCESSES (StevenHogan)]]></title>
<link><![CDATA[https://www.biblioeteca.com/biblioeteca.web/titulo/simulation-based-algorithms-for-markov-decision-processes]]></link>
<description><![CDATA[<p>This book on Markov Decision Processes is a treasure for anyone interested in advanced decision-making models. The practical applications in engineering and economics are especially relevant today. I recently enjoyed playing the <a href="https://slopegameio.github.io/">Slope Game</a>&nbsp;which also involves strategic decision-making in a fun way. Exploring how MDPs can enhance game design could be an exciting topic for discussion!</p> ]]></description>
<pubDate>Thu, 09 Jan 2025 07:22:23 +0000</pubDate>
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