Deep reinforcement learning hands-on : : apply modern RL methods, with deep Q-networks, value iteration, policy gradients, TRPO, AlphaGo Zero and more / / Maxim Lapan.
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| Place / Publishing House: | Birmingham, England : : Packt Publishing,, 2018. |
| Year of Publication: | 2018 |
| Language: | English |
| Online Access: | |
| Physical Description: | 1 online resource (547 pages) |
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5005434975 |
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(MiAaPQ)5005434975 (Au-PeEL)EBL5434975 (CaPaEBR)ebr11584858 (OCoLC)1042318736 |
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bib_alma |
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Lapan, Maxim, author. Deep reinforcement learning hands-on : apply modern RL methods, with deep Q-networks, value iteration, policy gradients, TRPO, AlphaGo Zero and more / Maxim Lapan. Birmingham, England : Packt Publishing, 2018. 1 online resource (547 pages) text txt rdacontent computer c rdamedia online resource cr rdacarrier Includes bibliographical references and index. Description based on print version record. Electronic reproduction. Ann Arbor, MI : ProQuest, 2018. Available via World Wide Web. Access may be limited to ProQuest affiliated libraries. Reinforcement learning. Electronic books. Print version: Lapan, Maxim. Deep reinforcement learning hands-on : apply modern RL methods, with deep Q-networks, value iteration, policy gradients, TRPO, AlphaGo Zero and more. Birmingham, England : Packt Publishing, c2018 547 pages 9781788834247 ProQuest (Firm) https://ebookcentral.proquest.com/lib/oeawat/detail.action?docID=5434975 Click to View |
| language |
English |
| format |
eBook |
| author |
Lapan, Maxim, |
| spellingShingle |
Lapan, Maxim, Deep reinforcement learning hands-on : apply modern RL methods, with deep Q-networks, value iteration, policy gradients, TRPO, AlphaGo Zero and more / |
| author_facet |
Lapan, Maxim, |
| author_variant |
m l ml |
| author_role |
VerfasserIn |
| author_sort |
Lapan, Maxim, |
| title |
Deep reinforcement learning hands-on : apply modern RL methods, with deep Q-networks, value iteration, policy gradients, TRPO, AlphaGo Zero and more / |
| title_sub |
apply modern RL methods, with deep Q-networks, value iteration, policy gradients, TRPO, AlphaGo Zero and more / |
| title_full |
Deep reinforcement learning hands-on : apply modern RL methods, with deep Q-networks, value iteration, policy gradients, TRPO, AlphaGo Zero and more / Maxim Lapan. |
| title_fullStr |
Deep reinforcement learning hands-on : apply modern RL methods, with deep Q-networks, value iteration, policy gradients, TRPO, AlphaGo Zero and more / Maxim Lapan. |
| title_full_unstemmed |
Deep reinforcement learning hands-on : apply modern RL methods, with deep Q-networks, value iteration, policy gradients, TRPO, AlphaGo Zero and more / Maxim Lapan. |
| title_auth |
Deep reinforcement learning hands-on : apply modern RL methods, with deep Q-networks, value iteration, policy gradients, TRPO, AlphaGo Zero and more / |
| title_new |
Deep reinforcement learning hands-on : |
| title_sort |
deep reinforcement learning hands-on : apply modern rl methods, with deep q-networks, value iteration, policy gradients, trpo, alphago zero and more / |
| publisher |
Packt Publishing, |
| publishDate |
2018 |
| physical |
1 online resource (547 pages) |
| isbn |
9781788839303 9781788834247 |
| callnumber-first |
Q - Science |
| callnumber-subject |
Q - General Science |
| callnumber-label |
Q325 |
| callnumber-sort |
Q 3325.6 L373 42018 |
| genre |
Electronic books. |
| genre_facet |
Electronic books. |
| url |
https://ebookcentral.proquest.com/lib/oeawat/detail.action?docID=5434975 |
| illustrated |
Not Illustrated |
| dewey-hundreds |
000 - Computer science, information & general works |
| dewey-tens |
000 - Computer science, knowledge & systems |
| dewey-ones |
006 - Special computer methods |
| dewey-full |
006.31 |
| dewey-sort |
16.31 |
| dewey-raw |
006.31 |
| dewey-search |
006.31 |
| oclc_num |
1042318736 |
| work_keys_str_mv |
AT lapanmaxim deepreinforcementlearninghandsonapplymodernrlmethodswithdeepqnetworksvalueiterationpolicygradientstrpoalphagozeroandmore |
| status_str |
n |
| ids_txt_mv |
(MiAaPQ)5005434975 (Au-PeEL)EBL5434975 (CaPaEBR)ebr11584858 (OCoLC)1042318736 |
| carrierType_str_mv |
cr |
| is_hierarchy_title |
Deep reinforcement learning hands-on : apply modern RL methods, with deep Q-networks, value iteration, policy gradients, TRPO, AlphaGo Zero and more / |
| _version_ |
1792330989213581312 |
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