reinforcement learning
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Lucian Busoniu Navigation: [ Lecture notes | Slides | Practical classes | Project | Contact ] [ Visit Lucian Busoniu's webpage ] About this course
Control prin invatare
The repository contains useful downloadable material related to my research and teaching, including Matlab software, presentations, and demonstration movies. If an item has a "»" button to its right, this button can be clicked to reveal more information; the "«" button then hides this information again (requires Javascript). MARL toolbox ver. 1.3 , a Matlab multi-agent reinforcement learning toolbox (4 August 2010, 336.9 KBytes). » The Multi-Agent Reinforcement Learning toolbox is a package of Matlab functions and scripts that I used in my research on multi-agent learning. We prefer Matlab for its ease of use with numeric computations and its rapid prototyping facilities. Since no Matlab toolbox for dynamic multi-agent tasks was available when I started my PhD project, I started writing one of my own. This is the result.
Repository - Homepage of Lucian Busoniu
Sina Iravanian
YAXLib: Yet Another XML Serialization Library for the .NET Framework An XML serialization library which lets developers design the XML file structure, and select the exception handling policy. This library also supports serializing most of the collection classes such as the Dictionary generic class. For more details please refer to the main article which is hosted at CodeProject: http://www.codeproject.com/KB/XML/yaxlib.aspxReinforcement Learning August 2006 Course Information This course will provide a comprehensive introduction to reinforcement learning, a powerful approach to learning from interaction to achieve goals in stochastic and incompletely-known environments. Reinforcement learning has adapted key ideas from machine learning, operations research, control theory, psychology, and neuroscience to produce some strikingly successful applications.
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Lectures - RL
Lectures will be held between 12:10 - 13:00 in LT4 7BSq. on Tuesdays and 12:10 - 13:00 same place on Fridays. Basic Mathematical Background : Please review this cribsheet to make sure you understand the concepts therein. You may also find these resources useful as occasional reference material. On Using Matlab : Take a look at this handout Introduction to MATLAB giving an introduction to MATLAB (you may ignore the section about NETLAB). Further MATLAB tutorials are available at UNH Matlab Tutorial , US Navy Matlab Tutorial and MTU Introduction to Matlab .