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| Chapter title |
Reinforcement Learning and the Bayesian Control Rule
|
|---|---|
| Chapter number | 30 |
| Book title |
Artificial General Intelligence
|
| Published in |
Lecture notes in computer science, January 2011
|
| DOI | 10.1007/978-3-642-22887-2_30 |
| Book ISBNs |
978-3-64-222886-5, 978-3-64-222887-2
|
| Authors |
Pedro Alejandro Ortega, Daniel Alexander Braun, Simon Godsill |
| Editors |
Jürgen Schmidhuber, Kristinn R. Thórisson, Moshe Looks |
Mendeley readers
The data shown below were compiled from readership statistics for 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 7% |
| China | 1 | 7% |
| Germany | 1 | 7% |
| Unknown | 12 | 80% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 3 | 20% |
| Researcher | 3 | 20% |
| Student > Master | 3 | 20% |
| Professor > Associate Professor | 2 | 13% |
| Student > Bachelor | 1 | 7% |
| Other | 3 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 11 | 73% |
| Engineering | 2 | 13% |
| Decision Sciences | 1 | 7% |
| Economics, Econometrics and Finance | 1 | 7% |