Data-driven Generation of Policies by V. S. Subrahmanian, Austin Parker, Gerardo I. Simari, Amy

By V. S. Subrahmanian, Austin Parker, Gerardo I. Simari, Amy Sliva

This Springer short provides a simple set of rules that offers an accurate technique to discovering an optimum nation swap try out, in addition to an improved set of rules that's outfitted on best of the well known trie information constitution. It explores correctness and algorithmic complexity effects for either algorithms and experiments evaluating their functionality on either real-world and artificial info. themes addressed contain optimum nation switch makes an attempt, country switch effectiveness, diverse type of influence estimators, making plans lower than uncertainty and experimental assessment. those themes may help researchers learn tabular facts, no matter if the information comprises states (of the area) and occasions (taken through an agent) whose results are usually not good understood. occasion DBs are omnipresent within the social sciences and should contain varied situations from political occasions and the country of a rustic to education-related activities and their results on a college process. With quite a lot of purposes in desktop technology and the social sciences, the data during this Springer short is effective for execs and researchers facing tabular info, synthetic intelligence and information mining. The purposes also are precious for advanced-level scholars of desktop technological know-how.

Show description

Read Online or Download Data-driven Generation of Policies PDF

Similar computer science books

Mastering Cloud Computing: Foundations and Applications Programming

Gaining knowledge of Cloud Computing is designed for undergraduate scholars studying to improve cloud computing functions. Tomorrow's purposes won't live to tell the tale a unmarried laptop yet should be deployed from and dwell on a digital server, available wherever, any time. Tomorrow's software builders have to comprehend the necessities of creating apps for those digital platforms, together with concurrent programming, high-performance computing, and data-intensive structures.

High-Performance Computing Using FPGAs

High-Performance Computing utilizing FPGA covers the world of excessive functionality reconfigurable computing (HPRC). This booklet presents an summary of architectures, instruments and purposes for High-Performance Reconfigurable Computing (HPRC). FPGAs provide very excessive I/O bandwidth and fine-grained, customized and versatile parallelism and with the ever-increasing computational wishes coupled with the frequency/power wall, the expanding adulthood and services of FPGAs, and the arrival of multicore processors which has triggered the reputation of parallel computational types.

Professional Java for Web Applications

The great Wrox advisor for developing Java internet purposes for the enterprise
This advisor indicates Java software program builders and software program engineers the way to construct complicated internet purposes in an firm setting. You'll start with an advent to the Java firm version and the fundamental net program, then manage a improvement software server setting, know about the instruments utilized in the advance technique, and discover a variety of Java applied sciences and practices. The publication covers industry-standard instruments and
technologies, particular applied sciences, and underlying programming concepts.
Java is an important programming language used around the world for either Android app improvement and enterprise-level company solutions
As a step by step advisor or a basic reference, this publication offers an all-in-one Java improvement solution
Explains Java company version 7 and the elemental net program, how one can arrange a improvement program server surroundings, which instruments are wanted throughout the improvement strategy, and the way to use numerous Java technologies
Covers new language positive factors in Java eight, comparable to Lambda Expressions, and the hot Java eight Date & Time API brought as a part of JSR 310, exchanging the legacy Date and Calendar APIs
Demonstrates the recent, fully-duplex WebSocket net connection know-how and its aid in Java EE 7, permitting the reader to create wealthy, really interactive net purposes which may push up to date info to the buyer automatically
Instructs the reader within the configuration and use of Log4j 2. zero, Spring Framework four (including Spring internet MVC), Hibernate Validator, RabbitMQ, Hibernate ORM, Spring information, Hibernate seek, and Spring Security
Covers software logging, JSR 340 Servlet API three. 1, JSR 245 JavaServer Pages (JSP) 2. three (including customized tag libraries), JSR 341 Expression Language three. zero, JSR 356 WebSocket API 1. zero, JSR 303/349 Bean Validation 1. 1, JSR 317/338 Java patience API (JPA) 2. 1, full-text looking with JPA, RESTful and cleaning soap internet prone, complicated Message Queuing Protocol (AMQP), and OAuth
Professional Java for internet functions is the entire Wrox advisor for software program builders who're conversant in Java and who're able to construct high-level company Java internet functions.

Mindstorms: Children, Computers, And Powerful Ideas

Mindstorms has important subject matters: that kids can learn how to use pcs in a masterful manner and that studying to take advantage of pcs can swap the best way they research every thing else. Even outdoor the school room, Papert had a imaginative and prescient that the pc will be used simply as casually and as individually for a variety of reasons all through a person's whole lifestyles.

Additional info for Data-driven Generation of Policies

Example text

2. Finally, we conclude this section with a more general result regarding the complexity of deciding the probability of effectiveness of a given state change attempt when the effect estimator can be computed in polynomial time. 1. jK j2 / time. Proof. 2. jj E /, where E is the cost of computing " . 4 Trie-Enhanced Optimal State Change Attempts (TOSCA) In this section, we present the TOSCA algorithm that uses trie data structures [1] to improve performance of finding an optimal state change attempt.

A transition function T W S A ! S / specifying the probability of arriving at every possible state given that a certain action is taken in a given state. 4. A reward function R W S A ! R specifying the expected immediate reward gained by taking an action in a state. The objective is to compute a policy W S ! A, specifying what action should be taken in each state, that is optimal with respect to the expected utility obtained from executing it. 1 Obtaining an MDP from the Specification of an OSCA Problem We will now propose how, given an instance of an OSCA problem as described above, we can obtain the specification of a corresponding MDP in such a way that optimal policies for this MDP correspond to solutions to the original OSCA problem.

Proof. K //. K /. K //. Finally, lines 20 and 21 guarantee that the only SCAs returned are those that have probability of effectiveness at least p and cost at most k. 2. jK j2 /. Proof. The running time of the algorithm can be divided into two parts. First, the loop in line 3 runs at most jK j times. In each iteration, we compute line 7, which takes at most 2 jK j computations for "r (in the worst case, both select operations return the entire database). jK j2 / for the first loop. jK j/ times.

Download PDF sample

Rated 4.47 of 5 – based on 30 votes