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Planning with Markov Decision Processes: An AI Perspective - Synthesis Lectures on Artificial Intelligence and Machine Learning Mausam
Planning with Markov Decision Processes: An AI Perspective - Synthesis Lectures on Artificial Intelligence and Machine Learning
Mausam
Markov Decision Processes (MDPs) are widely popular in Artificial Intelligence for modeling sequential decision-making scenarios with probabilistic dynamics. Table of Contents: Introduction / MDPs / Fundamental Algorithms / Heuristic Search Algorithms / Symbolic Algorithms / Approximation Algorithms / Advanced Notes
194 pages, XVI, 194 p.
| Mediji | Grāmatas Paperback Book (Grāmata ar mīksto vāku un līmēto muguru) |
| Izlaists | 2012. gada 3. jūlijs |
| ISBN13 | 9783031004315 |
| Izdevēji | Springer International Publishing AG |
| Lapas | 194 |
| Izmēri | 190 × 235 × 17 mm · 406 g |
| Valoda | Angļu |