Advances in reinforcement learning / / edited by Abdelhamid Mellouk.
Reinforcement Learning (RL) is a very dynamic area in terms of theory and application. This book brings together many different aspects of the current research on several fields associated to RL which has been growing rapidly, producing a wide variety of learning algorithms for different application...
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| Place / Publishing House: | Rijeka, Croatia : : InTech,, [2011] ©2011 |
| Year of Publication: | 2011 |
| Language: | English |
| Physical Description: | 1 online resource (484 pages) :; illustrations |
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(CKB)3230000000075460 (NjHacI)993230000000075460 (oapen)https://directory.doabooks.org/handle/20.500.12854/64908 (EXLCZ)993230000000075460 |
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Mellouk, Abdelhamid edt Advances in reinforcement learning / edited by Abdelhamid Mellouk. IntechOpen 2011 Rijeka, Croatia : InTech, [2011] ©2011 1 online resource (484 pages) : illustrations text txt rdacontent computer c rdamedia online resource cr rdacarrier Description based on: online resource; title from PDF information screen (Knovel, viewed October 11, 2022). Includes bibliographical references. Open access Unrestricted online access star Reinforcement Learning (RL) is a very dynamic area in terms of theory and application. This book brings together many different aspects of the current research on several fields associated to RL which has been growing rapidly, producing a wide variety of learning algorithms for different applications. Based on 24 Chapters, it covers a very broad variety of topics in RL and their application in autonomous systems. A set of chapters in this book provide a general overview of RL while other chapters focus mostly on the applications of RL paradigms: Game Theory, Multi-Agent Theory, Robotic, Networking Technologies, Vehicular Navigation, Medicine and Industrial Logistic. English Artificial intelligence. Machine learning 953-307-369-1 Mellouk, Abdelhamid, editor. |
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English |
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eBook |
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Mellouk, Abdelhamid, |
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Mellouk, Abdelhamid, |
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TeilnehmendeR |
| title |
Advances in reinforcement learning / |
| spellingShingle |
Advances in reinforcement learning / |
| title_full |
Advances in reinforcement learning / edited by Abdelhamid Mellouk. |
| title_fullStr |
Advances in reinforcement learning / edited by Abdelhamid Mellouk. |
| title_full_unstemmed |
Advances in reinforcement learning / edited by Abdelhamid Mellouk. |
| title_auth |
Advances in reinforcement learning / |
| title_new |
Advances in reinforcement learning / |
| title_sort |
advances in reinforcement learning / |
| publisher |
IntechOpen InTech, |
| publishDate |
2011 |
| physical |
1 online resource (484 pages) : illustrations |
| isbn |
953-51-5503-2 953-307-369-1 |
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Q - Science |
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Q - General Science |
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Q335 |
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Q 3335 A383 42011 |
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Illustrated |
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000 - Computer science, information & general works |
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000 - Computer science, knowledge & systems |
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006 - Special computer methods |
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006.3 |
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16.3 |
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006.3 |
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006.3 |
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AT melloukabdelhamid advancesinreinforcementlearning |
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n |
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(CKB)3230000000075460 (NjHacI)993230000000075460 (oapen)https://directory.doabooks.org/handle/20.500.12854/64908 (EXLCZ)993230000000075460 |
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