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30. Real-Life Reinforcement Learning

30. Real-Life Reinforcement Learning

This video was recorded at AAAI 2009: AI Video Competition. A lot of the research in the field of reinforcement learning has been focused/tested on simulation domains. Some of the characteristics of real-life domains, such as the shape of their noise function or imperfect perception that results in violation of Markovianness are typically neglected in the simulation. In this video, we promote performing reinforcement learning research on real problems to make sure algorithms are more robust to these design imperfections.
Keywords:
videolectures, ocwc, oec
Disciplines:
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More about this material

Material Type:
Presentation
Date Added to MERLOT:
February 10, 2015
Date Modified in MERLOT:
February 10, 2015
Authors:
Submitter:
The Open Education Consortium
Primary Audience:
College General Ed, College Lower Division, College Upper Division
Technical Format:
Video
Mobile Compatibility:
Not specified at this time
Language:
English
Cost Involved:
No
Source Code Available:
No
Creative Commons:
Creative Commons License
This work is licensed under a Attribution-NonCommercial-NoDerivs 3.0 United States

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