<?xml version="1.0" encoding="utf-8"?>
<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Recent changes to Introduction</title><link>https://sourceforge.net/p/ms-pacman/wiki/Introduction/</link><description>Recent changes to Introduction</description><atom:link href="https://sourceforge.net/p/ms-pacman/wiki/Introduction/feed" rel="self"/><language>en</language><lastBuildDate>Thu, 20 Sep 2012 15:50:01 -0000</lastBuildDate><atom:link href="https://sourceforge.net/p/ms-pacman/wiki/Introduction/feed" rel="self" type="application/rss+xml"/><item><title>WikiPage Introduction modified by Luuk Bom</title><link>https://sourceforge.net/p/ms-pacman/wiki/Introduction/</link><description>&lt;pre&gt;--- v4
+++ v5
@@ -2,5 +2,5 @@
 -----------
 The framework consists of several components: a simulation of the game Ms. Pac-Man, several input algorithms which can numerically represent the in-game situation, one or more neural networks to perform the decision making, static rewards based on game performance, reinforcement learning algorithms and two learning rules to train the neural networks. 
 
-To find out how these components were set-up and how they work together, read one of the [publications](https://sourceforge.net/projects/ms-pacman/files/).
-Nearly all aspects of the framework can be configured and tweaked using the instructions found in [Configuration].
+To find out how these components were set-up and how they work together, read one of the [publications](https://sourceforge.net/projects/ms-pacman/files/). They provide important details on the various aspects of the framework.
+All components can be configured and tweaked using the instructions found in [Configuration].
&lt;/pre&gt;</description><dc:creator xmlns:dc="http://purl.org/dc/elements/1.1/">Luuk Bom</dc:creator><pubDate>Thu, 20 Sep 2012 15:50:01 -0000</pubDate><guid>https://sourceforge.netde711a334b639098fd2defdb0d73af0f9dabe6f7</guid></item><item><title>WikiPage Introduction modified by Luuk Bom</title><link>https://sourceforge.net/p/ms-pacman/wiki/Introduction/</link><description>&lt;pre&gt;--- v3
+++ v4
@@ -2,4 +2,5 @@
 -----------
 The framework consists of several components: a simulation of the game Ms. Pac-Man, several input algorithms which can numerically represent the in-game situation, one or more neural networks to perform the decision making, static rewards based on game performance, reinforcement learning algorithms and two learning rules to train the neural networks. 
 
-To find out how these components were set-up and how they work together, read one of the [publications](https://sourceforge.net/projects/ms-pacman/files/). Nearly all aspects of the framework can be configured and tweaked using the instructions found in [Configuration].
+To find out how these components were set-up and how they work together, read one of the [publications](https://sourceforge.net/projects/ms-pacman/files/).
+Nearly all aspects of the framework can be configured and tweaked using the instructions found in [Configuration].
&lt;/pre&gt;</description><dc:creator xmlns:dc="http://purl.org/dc/elements/1.1/">Luuk Bom</dc:creator><pubDate>Thu, 20 Sep 2012 15:00:32 -0000</pubDate><guid>https://sourceforge.net8c355faf55c232c0e0ed64ec71b6409a2eb63e14</guid></item><item><title>WikiPage Introduction modified by Luuk Bom</title><link>https://sourceforge.net/p/ms-pacman/wiki/Introduction/</link><description>&lt;pre&gt;--- v2
+++ v3
@@ -1,5 +1,5 @@
 Introduction
 -----------
-The framework consists of several independent components: a simulation of the game Ms. Pac-Man, several input algorithms which can numerically represent the in-game situation, one or more neural networks to perform the decision making, static rewards based on game performance, reinforcement learning algorithms and two learning rules to train the neural networks.
+The framework consists of several components: a simulation of the game Ms. Pac-Man, several input algorithms which can numerically represent the in-game situation, one or more neural networks to perform the decision making, static rewards based on game performance, reinforcement learning algorithms and two learning rules to train the neural networks. 
 
-To find out how these components work together, read one of the [publications](https://sourceforge.net/projects/ms-pacman/files/).
+To find out how these components were set-up and how they work together, read one of the [publications](https://sourceforge.net/projects/ms-pacman/files/). Nearly all aspects of the framework can be configured and tweaked using the instructions found in [Configuration].
&lt;/pre&gt;</description><dc:creator xmlns:dc="http://purl.org/dc/elements/1.1/">Luuk Bom</dc:creator><pubDate>Thu, 20 Sep 2012 15:00:21 -0000</pubDate><guid>https://sourceforge.net146ecc80b6e0f214e015cbe6c394504b05143f95</guid></item><item><title>WikiPage Introduction modified by Luuk Bom</title><link>https://sourceforge.net/p/ms-pacman/wiki/Introduction/</link><description>&lt;pre&gt;--- v1
+++ v2
@@ -2,4 +2,4 @@
 -----------
 The framework consists of several independent components: a simulation of the game Ms. Pac-Man, several input algorithms which can numerically represent the in-game situation, one or more neural networks to perform the decision making, static rewards based on game performance, reinforcement learning algorithms and two learning rules to train the neural networks.
 
-To find out how these components work together, read one of the publications [here](https://sourceforge.net/projects/ms-pacman/files/).
+To find out how these components work together, read one of the [publications](https://sourceforge.net/projects/ms-pacman/files/).
&lt;/pre&gt;</description><dc:creator xmlns:dc="http://purl.org/dc/elements/1.1/">Luuk Bom</dc:creator><pubDate>Thu, 20 Sep 2012 14:58:06 -0000</pubDate><guid>https://sourceforge.net93c732e4e3a2baf52436ebbb24ea97797c596c36</guid></item><item><title>WikiPage Introduction modified by Luuk Bom</title><link>https://sourceforge.net/p/ms-pacman/wiki/Introduction/</link><description>Introduction
-----------
The framework consists of several independent components: a simulation of the game Ms. Pac-Man, several input algorithms which can numerically represent the in-game situation, one or more neural networks to perform the decision making, static rewards based on game performance, reinforcement learning algorithms and two learning rules to train the neural networks.

To find out how these components work together, read one of the publications [here](https://sourceforge.net/projects/ms-pacman/files/).</description><dc:creator xmlns:dc="http://purl.org/dc/elements/1.1/">Luuk Bom</dc:creator><pubDate>Thu, 20 Sep 2012 14:57:04 -0000</pubDate><guid>https://sourceforge.nete0f8df5cf08ee771fc5ca2c52c44b24d292ab426</guid></item></channel></rss>