Algorithms for Reinforcement Learning
Overview & Synopsis
Reinforcement Learning (RL) is a learning paradigm concerned with learning to control a system so as to maximize a numerical performance measure that expresses a long-term objective.What distinguishes reinforcement learning from supervised learning is that only partial feedback is given to the learner about the learner's predictions.
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Document Information
| Document Title | Algorithms for Reinforcement Learning |
|---|---|
| Author / Organization | Csaba Szepesvari |
| Subject & Discipline | Reinforcement Learning, Machine Learning, Algorithms and Data Structures, Neural Networks and Depp Learning, Artificial Intelligence, Statistics, Mathematical Statistics, and SAS Programming, Probability and Stochastic Processe |
| Categories | Reinforcement Learning |
| Publication Year | 2010 |
| ISBN | 1608454924 |
| Resource Verification | Verification pending |
| Alternative Mirrors & Links | |
| Original Host Website |
FreeComputerBooks.com
(freecomputerbooks.com)
|
| File Format | application/pdf (Portable Document Format) |
| Language | ENGLISH |
| Catalog ID | DOC-259053 |
| Original Source Link | Visit Source Page on freecomputerbooks.com » |
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