<?xml version="1.0" encoding="UTF-8"?><rss xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:content="http://purl.org/rss/1.0/modules/content/" xmlns:atom="http://www.w3.org/2005/Atom" version="2.0"><channel><title><![CDATA[RSS Feed]]></title><description><![CDATA[RSS Feed]]></description><link>http://direct.ecency.com</link><image><url>http://direct.ecency.com/logo512.png</url><title>RSS Feed</title><link>http://direct.ecency.com</link></image><generator>RSS for Node</generator><lastBuildDate>Thu, 16 Apr 2026 04:46:36 GMT</lastBuildDate><atom:link href="http://direct.ecency.com/created/artifitialintelligence/rss.xml" rel="self" type="application/rss+xml"/><item><title><![CDATA[From classic AI techniques to Deep Reinforcement Learning]]></title><description><![CDATA[Building machines that can learn from examples, experience, or even from another machines at human level are the main goal of solving AI. That goal in other words is to create a machine that pass the Turing]]></description><link>http://direct.ecency.com/artifitialintelligence/@fesan81/2jyyxt-from-classic-ai-techniques-to-deep-reinforcement-learning</link><guid isPermaLink="true">http://direct.ecency.com/artifitialintelligence/@fesan81/2jyyxt-from-classic-ai-techniques-to-deep-reinforcement-learning</guid><category><![CDATA[artifitialintelligence]]></category><dc:creator><![CDATA[fesan81]]></dc:creator><pubDate>Tue, 28 Nov 2017 10:29:03 GMT</pubDate><enclosure url="https://images.ecency.com/p/2r8F9rTBenJR3iqPxDrevHK3vDeQGnHc8Wj8C8nehVyJ3m8jKx9f3TnMirgpydfFPhHKX72FXthj43D1QWkevFg5HBQoje9cCuztZN5vYng7kEWbYjQeaM645npobYnEi?format=match&amp;mode=fit" length="0" type="false"/></item><item><title><![CDATA[From classic AI techniques to Deep Reinforcement Learning]]></title><description><![CDATA[Building machines that can learn from examples, experience, or even from another machines at human level are the main goal of solving AI. That goal in other words is to create a machine that pass the Turing]]></description><link>http://direct.ecency.com/artifitialintelligence/@fesan81/2fbu4q-from-classic-ai-techniques-to-deep-reinforcement-learning</link><guid isPermaLink="true">http://direct.ecency.com/artifitialintelligence/@fesan81/2fbu4q-from-classic-ai-techniques-to-deep-reinforcement-learning</guid><category><![CDATA[artifitialintelligence]]></category><dc:creator><![CDATA[fesan81]]></dc:creator><pubDate>Tue, 28 Nov 2017 10:16:09 GMT</pubDate><enclosure url="https://images.ecency.com/p/2r8F9rTBenJR3iqPxDrevHK3vDeQGnHc8Wj8C8nehVyJ3m8jKx9f3TnMirgpydfFPhHKX72FXthj43D1QWkevFg5HBQoje9cCuztZN5vYng7kEWbYjQeaM645npobYnEi?format=match&amp;mode=fit" length="0" type="false"/></item><item><title><![CDATA[From classic AI techniques to Deep Reinforcement Learning]]></title><description><![CDATA[Building machines that can learn from examples, experience, or even from another machines at human level are the main goal of solving AI. That goal in other words is to create a machine that pass the Turing]]></description><link>http://direct.ecency.com/artifitialintelligence/@fesan81/from-classic-ai-techniques-to-deep-reinforcement-learning</link><guid isPermaLink="true">http://direct.ecency.com/artifitialintelligence/@fesan81/from-classic-ai-techniques-to-deep-reinforcement-learning</guid><category><![CDATA[artifitialintelligence]]></category><dc:creator><![CDATA[fesan81]]></dc:creator><pubDate>Tue, 28 Nov 2017 09:50:03 GMT</pubDate><enclosure url="https://images.ecency.com/p/2r8F9rTBenJR3iqPxDrevHK3vDeQGnHc8Wj8C8nehVyJ3m8jKx9f3TnMirgpydfFPhHKX72FXthj43D1QWkevFg5HBQoje9cCuztZN5vYng7kEWbYjQeaM645npobYnEi?format=match&amp;mode=fit" length="0" type="false"/></item></channel></rss>