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2009-04-15 07:39:41153 2009-04-15 07:39:41153 2009-04-15 07:39:41154 2009-04-15 07:39:41154 2009-04-15 07:39:43385 2009-04-15 07:39:43385 Fruit Stand 1957747 2009-04-15 07:39:43386 2009-04-15 07:39:43386 2009-04-15 07:39:43387 2009-04-15 07:39:43388 2009-04-15 07:39:43388 FruitStand[530:20b] FruitStand[530:20b] FruitStand[530:20b] FruitStand[530:20b] FruitStand[530:20b] FruitStand[530:20b] found an orange, leaving found an orange, leaving removing an apple removing an apple ****** FRUIT STAND ********** stand name: James's Grand

45 85 45 85 18 30 15-35

Learning the Q function corresponds to learning the optimal policy How can Q be learned The key problem is finding a reliable way to estimate training values for Q, given only a sequence of immediate rewards r spread out over time This can be accomplished through iterative approximation To see how, notice the close relationship between Q and V * ,

FruitStand[530:20b] FruitStand[530:20b] FruitStand[530:20b] FruitStand[530:20b] FruitStand[530:20b]

0293 0267 0267 0409 0435c

-------Crate-----------orange with radius: 3300000 -------Crate-----------orange with radius: 4200000 ********************

= V * ( S ) max Q(s,a')

0147 0133 0133 0205 0218c 0140 0146c (0140 0148d) 0176

The deleteFruitStand method also illustrates deleting managed objects However, it also illustrates Cascade Delete When you delete a fruit stand, you delete all its crates Each crate deletes all its fruit When using Cascade Delete, you can delete much data in a short time, so be certain this is the desired behavior

0440 0400 0400 0614 0653c 0420 0437c (0420 0443d)

Q(s,a ) = r(s, a )

Summary

2054 1866 1866 2863 3045c 1960 2037c (1960 2065d)

+ y max Q ( W ,a ) , a') a'

In this chapter, you learned the basics of Core Data framework After learning how to model your application s data objects, you learned how to insert, fetch, and delete instances from the data model But you only scratched Core Data s surface in this chapter There are so many ways to create an NSPredicate, so many ways to create an NSFetchRequest, and so many variations on the different ways of working with the managed object context that covering them all would result in a several-hundred-page book To continue learning more about Core Data, refer to Apple s documentation Apple has heavily documented the Core Data framework The first reference you should consult is Apple s Core Data Tutorial for iPhone OS This document provides a tutorial on using the Core Data framework with a UITableView and the CFLocation objects It is similar to this chapter s example tasks, only it expands upon them by presenting a slightly more difficult, but more realistic, example by loading data in a UITableView Consult Apple s Creating a Managed Object Model with Xcode tutorial and also Xcode Tools for Core Data for more information on using Xcode s data modeler Consult Apple s Predicate Programming Guide for more information on writing predicates Finally, for a complete reference on Core Data, consult Apple s Core Data Programming Guide

080 074 074 074

Playing system sounds Playing songs Using the Media Player to interact with a device s multimedia Playing video

15-35

This recursive definition of Q provides the basis for algorithms that iteratively approximate Q (Watkins 1989) To describe the algorithm, we will use the symbol Q to refer to the learner's estimate, or hypothesis, of the actual Q function In this algorithm the learner represents its hypothesis Q by a large table with a separate entry for each state-action pair The table entry for the pair (s, a ) stores the value for ~ ( sae ), h t learner's current hypothesis about the actual but unknown value Q(s, a) The table can be initially filled with random values (though it is easier to understand the algorithm if one assumes initial values of zero) The agent repeatedly observes its current state s, chooses some action a, executes this action, then observes the resulting reward r = r(s, a) and the new state s' = 6(s, a) It then updates the table entry for ~ ( sa ,) following each such transition, according to the rule: Q(S,a )