/** * RDDL: Factored Point-based Value Iteration for POMDPs. (In progress.) * * The intended implementation will follow Symbolic Perseus: * * Exploiting Structure to Efficiently Solve Large Scale Partially. * Observable Markov Decision Processes. * Pascal Poupart * PhD thesis, Department of Computer Science, University of Toronto, 2005. * (Symbolic Perseus is discussed in […]
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//////////////////////////////////////////////////////////////////// // An example RDDL description for the well-known SysAdmin problem // (Guestrin, Koller, Parr, IJCAI-01) with a number of enhancements // to demonstrate the expressivity of RDDL. // // Author: Scott Sanner (ssanner [at] gmail.com) //////////////////////////////////////////////////////////////////// domain sysadmin { //////////////////////////////////////////////////////////////////////////// // Define requirements up front (we use real value and enum types and the
/** * Algebraic Decision Diagram Package * * @author Scott Sanner (ssanner@gmail.com) * @version 7/25/03 * **/ package dd.discrete; import graph.Graph; import util.MapList; import java.io.*; import java.math.*; import java.text.*; import java.util.*; /** * General class for implementation of ADD data structure **/ public class ADD extends DD { // Internal statistics public static long APPLY_CALLS
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Chapter 2 The Basic “Data Recovery Problem” In this chapter, we introduce a basic Data Recovery Problem. The content include: 1. We first introduce a basic Parity Code, which can correct one erasure. 2. We then introduce an EVENODD code, which can correct two erasures. 3. We then formally define the basic “Data Recovery Problem”.
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Introduction to Databases CSC 343 Winter 2021 MICHAEL LIUT (MICHAEL.LIUT@UTORONTO.CA) ILIR DEMA (ILIR.DEMA@UTORONTO.CA) DEPARTMENT OF MATHEMATICAL AND COMPUTATIONAL SCIENCES UNIVERSITY OF TORONTO MISSISSAUGA Let’s look at the course syllabus! What does this course look like?! 2 Topics • Relational Model • ER Model • SQL • Aggregation and Joins • Constraints and Triggers • Relational
Relational DB Design Theory CSC 343 Winter 2021 MICHAEL LIUT (MICHAEL.LIUT@UTORONTO.CA) ILIR DEMA (ILIR. DEMA@UTORONTO.CA) DEPARTMENT OF MATHEMATICAL AND COMPUTATIONAL SCIENCES UNIVERSITY OF TORONTO MISSISSAUGA Introduction • There are always many different schemas for a given set of data. e.g. you could combine or divide tables. • How do you pick a schema? Which is
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Main Course Info Staff Resources Exams Beacon Ed OH Queue Introduction Overview Extra Credit Submission and Grading Autograder Details Office Hours FAQ Project 3: CS61BYoW Introduction In Project 3, you will create an engine for generating explorable worlds. This is a large design project that will require you and one partner to
Advanced Programming Techniques COSC1076 | Semester 1 2021 Assignment 1 | Implementing a Path Planning Algorithm Assessment Type Individual Assessment. Clarifications/updates may be made via announcements/rel- evant discussion forums. Due Date 11.59pm, Sunday 11 April 2021 (Before Week 6) Silence Policy From 5.00pm, Friday 09 April 2021 (Week 5) Weight 30% of the final course
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Lecture 10: Clustering GGR376 Dr. Adams Clustering Cluster analysis or clustering is the task of grouping a set of objects in such a way that objects in the same group are more similar to each other than to those in other groups. Clustering Visual I Clustering Visual II Clustering Visual III Iris Example Example from:
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Final Project COMP 302 Programming Languages and Paradigms Due Date: 30 April 2021 1 Introduction In this project, you will implement a language called MiniML, in OCaml. This will allow you to work with a larger code base, make use of many of the concepts that you have seen in class throughout the semester, and
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