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Book Categories |
| 1 | Introduction | 1 |
| 2 | Learning classifier systems | 19 |
| 3 | How strength and accuracy differ | 63 |
| 4 | What should a classifier system learn? | 97 |
| 5 | Prospects for adaptation | 125 |
| 6 | Classifier systems and Q-learning | 179 |
| 7 | Conclusion | 191 |
| A | Evaluation of macroclassifiers | 201 |
| B | Example XCS cycle | 203 |
| C | Learning from reinforcement | 213 |
| D | Generalisation problems | 227 |
| E | Value estimation algorithms | 233 |
| F | Generalised policy iteration algorithms | 251 |
| G | Evolutionary algorithms | 257 |
| H | The origins of Sarsa | 275 |
| I | Notation | 279 |
| Price | Condition | Delivery | Seller | Action |
| $125.00 | Digital |
| WonderClub |
Tremblay Yves
reviewed Strength or Accuracy: Credit Assignment in Learning Classifier Systems on July 21, 2019
Strength or Accuracy: Credit Assignment in Learning Classifier Systems
This is a great book with horrible notations... The notation (i.e. formulas, equations, variable names and math) is so strange that, you struggle with the concepts you know... let alone complicated concepts that you don't...
Descriptions and the text is excellent though...
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