Povej prijatelju o tem izdelku:
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
| Medij | Knjige Paperback Book (Knjiga z mehkimi platnicami in lepljenim hrbtom) |
| Izdano | 19. decembra 2013 |
| ISBN13 | 9781601987600 |
| Založniki | now publishers Inc |
| Strani | 92 |
| Dimenzije | 156 × 234 × 5 mm · 140 g |
| Jezik | Angleščina |
