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Multi-agent machine learning : a reinforcement approach /
"Multi-Agent Machine Learning: A Reinforcement Learning Approach is a framework to understanding different methods and approaches in multi-agent machine learning. It also provides cohesive coverage of the latest advances in multi-agent differential games and presents applications in game theory...
| मुख्य लेखक: | |
|---|---|
| स्वरूप: | Printed Book |
| भाषा: | English |
| प्रकाशित: |
New Jersey:
Wiley,
2014.
|
| विषय: | |
| ऑनलाइन पहुंच: | http://catalogimages.wiley.com/images/db/jimages/9781118362082.jpg |
| LEADER | 01799cam a2200277 i 4500 | ||
|---|---|---|---|
| 005 | 20160322165210.0 | ||
| 008 | 140604t20142014njua b 001 0 eng | ||
| 020 | |a 9781118362082 (hardback) | ||
| 020 | |a 111836208X (hardback) | ||
| 041 | |a eng | ||
| 082 | 0 | 0 | |a 004.85 |b SCH |
| 100 | 1 | |a Schwartz, Howard M., |9 2400 | |
| 245 | 1 | 0 | |a Multi-agent machine learning : |b a reinforcement approach / |c Howard M. Schwartz, Department of Systems and Computer Engineering, Carleton University. |
| 260 | |a New Jersey: |b Wiley, |c 2014. | ||
| 300 | |a xi, 242 pages : | ||
| 520 | |a "Multi-Agent Machine Learning: A Reinforcement Learning Approach is a framework to understanding different methods and approaches in multi-agent machine learning. It also provides cohesive coverage of the latest advances in multi-agent differential games and presents applications in game theory and robotics. Framework for understanding a variety of methods and approaches in multi-agent machine learning. Discusses methods of reinforcement learning such as a number of forms of multi-agent Q-learning Applicable to research professors and graduate students studying electrical and computer engineering, computer science, and mechanical and aerospace engineering"-- | ||
| 520 | |a "Provide an in-depth coverage of multi-player, differential games and Gam theory"-- | ||
| 650 | 0 | |a Reinforcement learning. |9 2401 | |
| 650 | 0 | |a Differential games. |9 2402 | |
| 650 | 0 | |a Swarm intelligence. |9 2403 | |
| 650 | 0 | |a Machine learning. |9 55 | |
| 650 | 7 | |a TECHNOLOGY & ENGINEERING / Electronics / General. |9 230 | |
| 856 | 4 | 2 | |u http://catalogimages.wiley.com/images/db/jimages/9781118362082.jpg |
| 942 | |c BK |6 _ | ||
| 999 | |c 156020 |d 156020 | ||
| 952 | |0 0 |1 0 |4 0 |6 00485_SCH |7 0 |9 204030 |a DCS |b DCS |c GEN |d 2016-03-17 |o 004.85 SCH |p MCs05840 |r 2016-03-17 |w 2016-03-17 |y BK | ||