partially observable

partially observable
мат. частично наблюдаемый

Большой англо-русский и русско-английский словарь. 2001.

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Смотреть что такое "partially observable" в других словарях:

  • Partially observable Markov decision process — A Partially Observable Markov Decision Process (POMDP) is a generalization of a Markov Decision Process. A POMDP models an agent decision process in which it is assumed that the system dynamics are determined by an MDP, but the agent cannot… …   Wikipedia

  • Processus de decision markovien partiellement observable — Processus de décision markovien partiellement observable Un Processus de décision markovien partiellement observable (POMDP) est un modèle stochastique issu de la théorie de la décision et de la théorie des probabilités. Les modèles de cette… …   Wikipédia en Français

  • Processus de décision markovien partiellement observable — Un Processus de décision markovien partiellement observable (POMDP) est un modèle stochastique issu de la théorie de la décision et de la théorie des probabilités. Les modèles de cette famille sont, entre autres, utilisés en intelligence… …   Wikipédia en Français

  • Markov model — In probability theory, a Markov model is a stochastic model that assumes the Markov property. Generally, this assumption enables reasoning and computation with the model that would otherwise be intractable. Contents 1 Introduction 2 Markov chain… …   Wikipedia

  • PEAS — For the fruit, see pea. P.E.A.S. is an acronym in artificial intelligence that stands for Performance, Environment, Actuators, Sensors. Contents 1 Performance 2 Environment 2.1 Fully observable vs. partially observable (Accessible vs …   Wikipedia

  • Intelligent agent — In artificial intelligence, an intelligent agent (IA) is an entity which observes, reason and acts upon an environment (i.e. it is an agent) and directs its activity towards achieving goals (i.e. it is usualy software rational… …   Wikipedia

  • Markov 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… …   Wikipedia

  • POMDP — Processus de décision markovien partiellement observable Un Processus de décision markovien partiellement observable (POMDP) est un modèle stochastique issu de la théorie de la décision et de la théorie des probabilités. Les modèles de cette… …   Wikipédia en Français

  • 2-EXPTIME — In computational complexity theory, the complexity class 2 EXPTIME (sometimes called 2 EXP) is the set of all decision problems solvable by a deterministic Turing machine in O(22 p ( n )) time, where p ( n ) is a polynomial function of n .In… …   Wikipedia

  • List of mathematics articles (P) — NOTOC P P = NP problem P adic analysis P adic number P adic order P compact group P group P² irreducible P Laplacian P matrix P rep P value P vector P y method Pacific Journal of Mathematics Package merge algorithm Packed storage matrix Packing… …   Wikipedia

  • Predictive State Representation — In computer science, a Predictive State Representation (PSR) is a dynamical system representation that keeps track of the state of the system using predictions of future observations. A PSR s state is grounded directly to statistics over… …   Wikipedia


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