Multi-agent machine learning : : a reinforcement approach / / Howard M. Schwartz.
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| Place / Publishing House: | Hoboken, New Jersey : : John Wiley & Sons, Inc.,, 2014. 2014 |
| Year of Publication: | 2014 |
| Language: | English |
| Online Access: | |
| Physical Description: | 1 online resource (257 pages) :; illustrations |
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| 008 | 140902t20142014njua ob 001 0 eng d | ||
| 020 | |z 9781118362082 | ||
| 020 | |a 9781118884478 |q (electronic bk.) | ||
| 035 | |a (MiAaPQ)5001775207 | ||
| 035 | |a (Au-PeEL)EBL1775207 | ||
| 035 | |a (CaPaEBR)ebr10921255 | ||
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| 040 | |a MiAaPQ |b eng |e rda |e pn |c MiAaPQ |d MiAaPQ | ||
| 050 | 4 | |a Q325.6 |b .S39 2014 | |
| 082 | 0 | |a 519.3 |2 23 | |
| 100 | 1 | |a Schwartz, Howard M., |e author. | |
| 245 | 1 | 0 | |a Multi-agent machine learning : |b a reinforcement approach / |c Howard M. Schwartz. |
| 264 | 1 | |a Hoboken, New Jersey : |b John Wiley & Sons, Inc., |c 2014. | |
| 264 | 4 | |c 2014 | |
| 300 | |a 1 online resource (257 pages) : |b illustrations | ||
| 336 | |a text |2 rdacontent | ||
| 337 | |a computer |2 rdamedia | ||
| 338 | |a online resource |2 rdacarrier | ||
| 504 | |a Includes bibliographical references at the end of each chapters and index. | ||
| 588 | |a Description based on print version record. | ||
| 590 | |a Electronic reproduction. Ann Arbor, MI : ProQuest, 2015. Available via World Wide Web. Access may be limited to ProQuest affiliated libraries. | ||
| 650 | 0 | |a Reinforcement learning. | |
| 650 | 0 | |a Differential games. | |
| 650 | 0 | |a Swarm intelligence. | |
| 650 | 0 | |a Machine learning. | |
| 655 | 4 | |a Electronic books. | |
| 776 | 0 | 8 | |i Print version: |a Schwartz, Howard M. |t Multi-agent machine learning : a reinforcement approach. |d Hoboken, New Jersey : John Wiley & Sons, Inc., c2014 |h xi, 242 pages |z 9781118362082 |w 2014016950 |
| 797 | 2 | |a ProQuest (Firm) | |
| 856 | 4 | 0 | |u https://ebookcentral.proquest.com/lib/oeawat/detail.action?docID=1775207 |z Click to View |