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• Hierarchical Reinforcement Learning with the MAXQ Value Function Decomposition.
• Abstract: This paper presents a new approach to hierarchical reinforcement learning based on the MAXQ decomposition of the value function. The MAXQ decomposition has both a procedural semantics---as a subroutine hierarchy---and a declarative semantics---as a representation of the value function of a hierarchical policy. MAXQ unifies and extends previous work on hierarchical reinforcement learning by Singh, Kaelbling, and Dayan and Hinton. ... The paper defines a hierarchical Q learning algorithm, proves its convergence, and shows experimentally that it can learn much faster than ordinary ``flat'' Q learning. These results and experiments are extended to support state abstraction and non-hierarchical execution. The paper concludes with a discussion of design tradeoffs in hierarchical reinforcement learning. ...

• Property: Hierarchical Oder.
• "Educational system hierarchical order is levels of subordinateness with components in each level with respect to affect relations. ...
• An important thing to identify within a hierarchical order is each level. ...
• Example 1 - An example of hierarchical order takes place in a school with a principal, several teachers, and several students. ...
• Example 2 - Another example of hierarchical order takes place in the military with a general, several colonels, and several majors. ...
• Hypotheses Containing the Property: Hierarchical Order.
• If educational system strongness increases, then hierarchical order decreases. ...
• If educational system unilateralness, then hierarchical order. ...
• If educational system hierarchical order increases, then vulnerability increases and flexibility decreases. ...
• If educational system compactness increases, then hierarchical order decreases. ...
• If educational system wholeness increases and hierarchical order is constant, then integration increases. ...
• If educational system feedin less than some value decreases, then hierarchical order decreases. ...
• If educational system strongness increases and hierarchical order is constant, then regulation decreases. ...
• If educational system wholeness increases and hierarchical order is constant, then efficiency decreases. ...
• If educational system weakness and hierarchical order, then flexibility decreases. ...
• Change in educational system size is greater than change in hierarchical order. ...

• Hierarchical (multilevel) models for survey data.
• The basic idea of hierarchical modeling (also known as multilevel modeling, empirical Bayes, random coefficient modeling, or growth curve modeling) is to think of the lowest-level units (smallest and most numerous) as organized into a hierarchy of successively higher-level units. ...
• Hierarchical models are often applicable to modeling of data from complex surveys, because usually a clustered or multistage sample design is used when the population has a hierarchical structure in the sense described above. Hierarchical modeling describes populations with complex structures in a way that differs fundamentally from the survey analysis software listed on our main page. ... The hierarchical structure of the population is considered because it affects the sample design and therefore the properties of the estimator used; for example, the variance of the mean student score is different when students are drawn as a cluster sample (where schools are clusters) than it would be if students are drawn by simple random sampling from a national population. ...
• Hierarchical modeling, on the other hand, takes variation at different levels of the hierarchy as an object of inference, as described in the first paragraph of this page. A hierarchical model can involve estimands (separate regression coefficients at the school and student level, for example) that have no meaning without recognition of the hierarchical structure of the population. ...
• The following are tutorial introductions to hierarchical modeling for practitioners: .
• Bryk and Raudenbush, Hierarchical Linear Models, Sage Publications, 1992. ...
• The following are some review articles and collections on software and methods for hierarchical modeling: .
• The discussion of the relationship between classical survey analysis and hierarchical modeling is based on ideas in .

• Hierarchical Database.
• Hierarchical database technology:"IBM introduced the first generation of database technology, known as hierarchical, when it installed IMS (Information Management System -- See IbmIms on Wiki) in its mainframe computers in the mid-1960s. ... Both hierarchical and network databases are often described by the term hierarchical database. ...
• "As the term implies, in a hierarchical database records are grouped in a logical hierarchy, connected in a branching structure similar to an organizational chart. ...
• "Although still in use by a few thousand mainframe computer installations, hierarchical database systems gave way to relational database (RDB) technology for two major reasons: .
• "Hierarchical database systems are difficult to use. ...
• Yes, XML is a hierarchical representation, and navigation is normally hierarchical. ...
• XML is likely to suffer from both limitations listed above -- complexity of navigation and difficulty in redesign, should you rethink the hierarchical relationships. ...
• TopMinds rant against hierarchical file systems and other trees: http://www. ...
• Hierarchical dbs predate RDBMS. ...
• Of course, sets can be used to represent trees even when the problem domain is inherently hierarchical. ...
• If you look at say bicycle or car parts, the relationship is not really hierarchical, although it can be forced into a hierarchy to create a UsefulLie. But a bigger problem is that not all "access paths" are going to be hierarchical. ... This has always been a drawback of larger hierarchical or compositional databases. ...

• Hierarchical keywords .
• To avoid possible misinterpretations and naming conflicts for keywords describing acquisition parameters, ESO has adopted a hierarchical keyword convention for this purpose using the keyword HIERARCH. ... Several hierarchical levels may exist with a keyword and associated value at the lowest level. ... The hierarchical keyword: HIERARCH ESO TEL FOCU SCALE = 1. ...
• In MIDAS releases prior to 96NOV, a special encoding scheme was used to translate hierarchical keywords name to MIDAS descriptor name shorter than 16 characters. ...
• The hierarchical structure provides a convenient and clear way to separate information concerning different subsystems. ... This document also gives a full definition of all hierarchical keywords in the ESO-domain. ...

• Hierarchical Data Format.
• Nearby terms: HID « hidden flag « hierarchical database « Hierarchical Data Format » hierarchical file system » Hierarchical Music Specification Language » hierarchical navigation .

• Yee Whye Teh : Research : Nonparametric and Hierarchical Bayes .
• We explore the use of nonparametric and hierarchical Bayesian models in machine learning. ... Hierarchical models define priors over model parameters with the hyperparmeters themselves being random. ... The combination of nonparametric and hierarchical modelling ideas lead us to very powerful models for machine learning. ...
• Hierarchical Dirichlet Processes. ...
• Hierarchical Dirichlet Processes. ...
• Yee Whye Teh : Research : Nonparametric and Hierarchical Bayes .

• two examples are, hierarchical and flat.
• Hierarchical structure is where the organisation has a definite top down look to its organisational structure. ...
• Hierarchical structural diagram.
• The flat structure is the opposite to the hierarchical structure. ...
• Comparison of Flat and Hierarchical Organisations.
• Hierarchical.

• Winterschool on hierarchical Matrices.
• Hierarchical Matrices can be a useful tool for the treatment of integral operators as well as the solution of linear systems arising in the discretisation of elliptic partial differential equations. Moreover, the representation of matrices in the hierarchical matrix format is suitable for the efficient solution of matrix equations. ...
• The aim of this winterschool is to teach the necessary theoretical foundations for hierarchical matrices, but most of all the efficient implementation of the algorithms. ...
• Winterschool on hierarchical Matrices.

• Biodevelopers Tree/hierarchical clustering software? .
• Next message: Biodevelopers Tree/hierarchical clustering software? .
• I would like a hierarchical clustering software which: 1) Has a good number of amalgamation rules. ...
• Next message: Biodevelopers Tree/hierarchical clustering software? .

• Strategic Assessment and Development of Interorganizational Influence in the Absence of Hierarchical Authority .
• Undertaken for the Department of Defense's Office of the Chancellor for Education and Professional Development, this report addresses the need of organizations to exert influence in situations where they lack the hierarchical authority that would make such influence straightforward. ...

• Hierarchical model.
• (Redirected from Hierarchical database) Database Management Systems.
• Models: Hierarchical Network Relational.
• A hierarchical database is a kind of database management system that links records together in a tree data structure such that each record type has only one owner, e. ... Hierarchical structures were widely used in the first mainframe database management systems. ...
• Hierarchical relationships between different types of data can make it very easy to answer some questions, but very difficult to answer others. ...
• 1 Terms 2 See also 3 Some well known hierarchical databases 4 External links .
• Some well known hierarchical databases.
• Open Directory Project: Computers > Data Formats > Database > Hierarchical (http://www. ... org/Computers/Data_Formats/Database/Hierarchical/) .

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