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• Markov_decision_process abstract "Markov decision processes (MDPs), named after Andrey Markov, provide a mathematical framework for modeling decision making in situations where outcomes are partly random and partly under the control of a decision maker. MDPs are useful for studying a wide range of optimization problems solved via dynamic programming and reinforcement learning. MDPs were known at least as early as the 1950s (cf. Bellman 1957). A core body of research on Markov decision processes resulted from Ronald A. Howard's book published in 1960, Dynamic Programming and Markov Processes. They are used in a wide area of disciplines, including robotics, automated control, economics, and manufacturing.More precisely, a Markov Decision Process is a discrete time stochastic control process. At each time step, the process is in some state , and the decision maker may choose any action that is available in state . The process responds at the next time step by randomly moving into a new state , and giving the decision maker a corresponding reward .The probability that the process moves into its new state is influenced by the chosen action. Specifically, it is given by the state transition function . Thus, the next state depends on the current state and the decision maker's action . But given and , it is conditionally independent of all previous states and actions; in other words, the state transitions of an MDP possess the Markov property.Markov decision processes are an extension of Markov chains; the difference is the addition of actions (allowing choice) and rewards (giving motivation). Conversely, if only one action exists for each state and all rewards are the same (e.g., zero), a Markov decision process reduces to a Markov chain.".
• Markov_decision_process thumbnail Markov_Decision_Process_example.png?width=300.
• Markov_decision_process wikiPageExternalLink mdp.html.
• Markov_decision_process wikiPageExternalLink ebook.
• Markov_decision_process wikiPageExternalLink index.php.
• Markov_decision_process wikiPageExternalLink ~baveja.
• Markov_decision_process wikiPageExternalLink Thesis.ps.gz.
• Markov_decision_process wikiPageExternalLink 56038.
• Markov_decision_process wikiPageExternalLink 3690147.
• Markov_decision_process wikiPageExternalLink 978-3-642-02546-4.
• Markov_decision_process wikiPageExternalLink CTCN.html.
• Markov_decision_process wikiPageExternalLink book.html.
• Markov_decision_process wikiPageID "1125883".
• Markov_decision_process wikiPageRevisionID "589500076".
• Markov_decision_process hasPhotoCollection Markov_decision_process.
• Markov_decision_process subject Category:Dynamic_programming.
• Markov_decision_process subject Category:Markov_processes.
• Markov_decision_process subject Category:Optimal_decisions.
• Markov_decision_process subject Category:Stochastic_control.
• Markov_decision_process type Abstraction100002137.
• Markov_decision_process type Act100030358.
• Markov_decision_process type Action100037396.
• Markov_decision_process type Activity100407535.
• Markov_decision_process type Choice100161243.
• Markov_decision_process type Decision100162632.
• Markov_decision_process type Event100029378.
• Markov_decision_process type MarkovProcesses.
• Markov_decision_process type OptimalDecisions.
• Markov_decision_process type Procedure101023820.
• Markov_decision_process type PsychologicalFeature100023100.
• Markov_decision_process type YagoPermanentlyLocatedEntity.
• Markov_decision_process comment "Markov decision processes (MDPs), named after Andrey Markov, provide a mathematical framework for modeling decision making in situations where outcomes are partly random and partly under the control of a decision maker. MDPs are useful for studying a wide range of optimization problems solved via dynamic programming and reinforcement learning. MDPs were known at least as early as the 1950s (cf. Bellman 1957). A core body of research on Markov decision processes resulted from Ronald A.".
• Markov_decision_process label "Markov decision process".
• Markov_decision_process label "Markow-Entscheidungsproblem".
• Markov_decision_process label "Processus de décision markovien".
• Markov_decision_process label "Марковский процесс принятия решений".
• Markov_decision_process sameAs Markovův_rozhodovací_proces.
• Markov_decision_process sameAs Markow-Entscheidungsproblem.
• Markov_decision_process sameAs Processus_de_décision_markovien.
• Markov_decision_process sameAs m.048gl8.
• Markov_decision_process sameAs Q176789.
• Markov_decision_process sameAs Q176789.
• Markov_decision_process sameAs Markov_decision_process.
• Markov_decision_process wasDerivedFrom Markov_decision_process?oldid=589500076.
• Markov_decision_process depiction Markov_Decision_Process_example.png.
• Markov_decision_process isPrimaryTopicOf Markov_decision_process.