policy iteration algorithm
1Markov decision process — 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… …
2Q-learning — is a reinforcement learning technique that works by learning an action value function that gives the expected utility of taking a given action in a given state and following a fixed policy thereafter. A strength with Q learning is that it is able …
3Нейроуправление — (англ. Neurocontrol)  частный случай интеллектуального управления, использующий искусственные нейронные сети для решения задач управления динамическими объектами. Нейроуправление находится на стыке таких дисциплин, как искусственный… …
4Ronald A. Howard — has been a professor at Stanford University since 1965. In 1964 he defined the profession of decision analysis, and since then has been developing the field as professor in the Department of Engineering Economic Systems (now the Department of… …
5Parallel computing — Programming paradigms Agent oriented Automata based Component based Flow based Pipelined Concatenative Concurrent computing …
6Land use forecasting — undertakes to project the distribution and intensity of trip generating activities in the urban area. In practice, land use models are demand driven, using as inputs the aggregate information on growth produced by an aggregate economic… …
7Mathematical optimization — For other uses, see Optimization (disambiguation). The maximum of a paraboloid (red dot) In mathematics, computational science, or management science, mathematical optimization (alternatively, optimization or mathematical programming) refers to… …
8Web crawler — For the search engine of the same name, see WebCrawler. For the fictional robots called Skutters, see Red Dwarf characters#The Skutters. Not to be confused with offline reader. A Web crawler is a computer program that browses the World Wide Web… …
9Completely Fair Scheduler — The Completely Fair Scheduler is the name of a task scheduler which was merged into the 2.6.23 release of the Linux kernel. It handles CPU resource allocation for executing processes, and aims to maximize overall CPU utilization while also… …
10Dantzig–Wolfe decomposition — is an algorithm for solving linear programming problems with special structure. It was originally developed by George Dantzig and Phil Wolfe and initially published in 1960[1]. Many texts on linear programming have sections dedicated to… …
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