Reinforcement learning and dynamic programming using function approximators / Lucian BuĂ°soniu [and others].
From household appliances to applications in robotics, engineered systems involving complex dynamics can only be as effective as the algorithms that control them. While Dynamic Programming (DP) has provided researchers with a way to optimally solve decision and control problems involving complex dyn...
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Full Text (via ProQuest) |
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Other Authors: | |
Format: | Electronic eBook |
Language: | English |
Published: |
Boca Raton, FL :
CRC Press,
[2010]
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Series: | Automation and control engineering.
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Subjects: |
Internet
Full Text (via ProQuest)Online
Call Number: |
TJ223.M53 R44 2010
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TJ223.M53 R44 2010 | Available |