Faites connaître cet article à vos amis:
A Tutorial on Linear Function Approximators for Dynamic Programming and Reinforcement Learning - Foundations and Trends (R) in Machine Learning Alborz Geramifard
A Tutorial on Linear Function Approximators for Dynamic Programming and Reinforcement Learning - Foundations and Trends (R) in Machine Learning
Alborz Geramifard
A Markov Decision Process (MDP) is a natural framework for formulating sequential decision-making problems under uncertainty. In recent years, researchers have greatly advanced algorithms for learning and acting in MDPs. This book reviews such algorithms.
92 pages
| Médias | Livres Paperback Book (Livre avec couverture souple et dos collé) |
| Validé | 19 décembre 2013 |
| ISBN13 | 9781601987600 |
| Éditeurs | now publishers Inc |
| Pages | 92 |
| Dimensions | 156 × 234 × 5 mm · 140 g |
| Langue et grammaire | Anglais |
