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| Chapter title |
Reward Function and Initial Values: Better Choices for Accelerated Goal-Directed Reinforcement Learning
|
|---|---|
| Chapter number | 87 |
| Book title |
Artificial Neural Networks – ICANN 2006
|
| Published by |
Springer, Berlin, Heidelberg, September 2006
|
| DOI | 10.1007/11840817_87 |
| Book ISBNs |
978-3-54-038625-4, 978-3-54-038627-8
|
| Authors |
Laëtitia Matignon, Guillaume J. Laurent, Nadine Le Fort-Piat |
Mendeley readers
The data shown below were compiled from readership statistics for 40 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 3% |
| Unknown | 39 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 13 | 33% |
| Student > Ph. D. Student | 9 | 23% |
| Researcher | 6 | 15% |
| Student > Bachelor | 4 | 10% |
| Professor > Associate Professor | 2 | 5% |
| Other | 2 | 5% |
| Unknown | 4 | 10% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 18 | 45% |
| Engineering | 11 | 28% |
| Agricultural and Biological Sciences | 1 | 3% |
| Business, Management and Accounting | 1 | 3% |
| Psychology | 1 | 3% |
| Other | 3 | 8% |
| Unknown | 5 | 13% |