Q-учeње (Serbian Wikipedia)
Analysis of information sources in references of the Wikipedia article "Q-учeње" in Serbian language version.
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aaai.org (Global: 9,352nd place; Serbian: low place)
- van Hasselt, Hado; Guez, Arthur; Silver, David (2015). „Deep reinforcement learning with double Q-learning”. AAAI Conference on Artificial Intelligence: 2094—2100. arXiv:1509.06461
. Архивирано из оригинала (PDF) 06. 02. 2020. г. Приступљено 14. 04. 2022.
anu.edu.au (Global: 942nd place; Serbian: 2,000th place)
users.cecs.anu.edu.au
- Gaskett, Chris; Wettergreen, David; Zelinsky, Alexander (1999). „Q-Learning in Continuous State and Action Spaces” (PDF).
archive.org (Global: 6th place; Serbian: 5th place)
- Russell, Stuart J.; Norvig, Peter (2010). Artificial Intelligence: A Modern Approach (Third изд.). Prentice Hall. стр. 649. ISBN 978-0136042594.
arxiv.org (Global: 69th place; Serbian: 240th place)
- François-Lavet, Vincent; Fonteneau, Raphael (2015-12-07). „How to Discount Deep Reinforcement Learning: Towards New Dynamic Strategies”. arXiv:1512.02011 [cs.LG].
- van Hasselt, Hado; Guez, Arthur; Silver, David (2015). „Deep reinforcement learning with double Q-learning”. AAAI Conference on Artificial Intelligence: 2094—2100. arXiv:1509.06461 . Архивирано из оригинала (PDF) 06. 02. 2020. г. Приступљено 14. 04. 2022.
- Hessel, Matteo; Modayil, Joseph; van Hasselt, Hado; Schaul, Tom; Ostrovski, Georg; Dabney, Will; Horgan, Dan; Piot, Bilal; Azar, Mohammad (фебруар 2018). „Rainbow: Combining Improvements in Deep Reinforcement Learning”. AAAI Conference on Artificial Intelligence. arXiv:1710.02298 . Приступљено 16. 9. 2021.
bkgm.com (Global: low place; Serbian: 8,516th place)
- Tesauro, Gerald (март 1995). „Temporal Difference Learning and TD-Gammon”. Communications of the ACM. 38 (3): 58—68. doi:10.1145/203330.203343. Приступљено 2010-02-08.
books.google.com (Global: 3rd place; Serbian: 2nd place)
- Hasselt, Hado van (5. 3. 2012). „Reinforcement Learning in Continuous State and Action Spaces”. Ур.: Wiering, Marco; Otterlo, Martijn van. Reinforcement Learning: State-of-the-Art. Springer Science & Business Media. стр. 207—251. ISBN 978-3-642-27645-3.
- Bozinovski, S. (15. 7. 1999). „Crossbar Adaptive Array: The first connectionist network that solved the delayed reinforcement learning problem”. Ур.: Dobnikar, Andrej; Steele, Nigel C.; Pearson, David W.; Albrecht, Rudolf F. Artificial Neural Nets and Genetic Algorithms: Proceedings of the International Conference in Portorož, Slovenia, 1999. Springer Science & Business Media. стр. 320—325. ISBN 978-3-211-83364-3.
- Bozinovski, S. (1982). „A self learning system using secondary reinforcement”. Ур.: Trappl, Robert. Cybernetics and Systems Research: Proceedings of the Sixth European Meeting on Cybernetics and Systems Research. North Holland. стр. 397. ISBN 978-0-444-86488-8.
- Barto, A. (24. 2. 1997). „Reinforcement learning”. Ур.: Omidvar, Omid; Elliott, David L. Neural Systems for Control. Elsevier. ISBN 978-0-08-053739-9.
doi.org (Global: 2nd place; Serbian: 4th place)
- Shteingart, Hanan; Neiman, Tal; Loewenstein, Yonatan (мај 2013). „The role of first impression in operant learning.” (PDF). Journal of Experimental Psychology: General (на језику: енглески). 142 (2): 476—488. ISSN 1939-2222. PMID 22924882. doi:10.1037/a0029550. Архивирано из оригинала (PDF) 26. 01. 2021. г. Приступљено 14. 04. 2022.
- Tesauro, Gerald (март 1995). „Temporal Difference Learning and TD-Gammon”. Communications of the ACM. 38 (3): 58—68. doi:10.1145/203330.203343. Приступљено 2010-02-08.
- Watkins, Chris; Dayan, Peter (1992). „Q-learning”. Machine Learning. 8 (3–4): 279—292. doi:10.1007/BF00992698 .
- Mnih, Volodymyr; Kavukcuoglu, Koray; Silver, David; Rusu, Andrei A.; Veness, Joel; Bellemare, Marc G.; Graves, Alex; Riedmiller, Martin; Fidjeland, Andreas K. (фебруар 2015). „Human-level control through deep reinforcement learning”. Nature (на језику: енглески). 518 (7540): 529—533. Bibcode:2015Natur.518..529M. ISSN 0028-0836. PMID 25719670. doi:10.1038/nature14236.
harvard.edu (Global: 18th place; Serbian: 28th place)
adsabs.harvard.edu
- Mnih, Volodymyr; Kavukcuoglu, Koray; Silver, David; Rusu, Andrei A.; Veness, Joel; Bellemare, Marc G.; Graves, Alex; Riedmiller, Martin; Fidjeland, Andreas K. (фебруар 2015). „Human-level control through deep reinforcement learning”. Nature (на језику: енглески). 518 (7540): 529—533. Bibcode:2015Natur.518..529M. ISSN 0028-0836. PMID 25719670. doi:10.1038/nature14236.
huji.ac.il (Global: 3,903rd place; Serbian: 4,151st place)
ratio.huji.ac.il
- Shteingart, Hanan; Neiman, Tal; Loewenstein, Yonatan (мај 2013). „The role of first impression in operant learning.” (PDF). Journal of Experimental Psychology: General (на језику: енглески). 142 (2): 476—488. ISSN 1939-2222. PMID 22924882. doi:10.1037/a0029550. Архивирано из оригинала (PDF) 26. 01. 2021. г. Приступљено 14. 04. 2022.
incompleteideas.net (Global: low place; Serbian: low place)
- Sutton, Richard; Barto, Andrew (1998). Reinforcement Learning: An Introduction. MIT Press.
leemon.com (Global: low place; Serbian: low place)
- Baird, Leemon (1995). „Residual algorithms: Reinforcement learning with function approximation” (PDF). ICML: 30—37.
microsoft.com (Global: 153rd place; Serbian: 508th place)
- Strehl, Alexander L.; Li, Lihong; Wiewiora, Eric; Langford, John; Littman, Michael L. (2006). „Pac model-free reinforcement learning” (PDF). Proc. 22nd ICML: 881—888.
nih.gov (Global: 4th place; Serbian: 8th place)
ncbi.nlm.nih.gov
- Shteingart, Hanan; Neiman, Tal; Loewenstein, Yonatan (мај 2013). „The role of first impression in operant learning.” (PDF). Journal of Experimental Psychology: General (на језику: енглески). 142 (2): 476—488. ISSN 1939-2222. PMID 22924882. doi:10.1037/a0029550. Архивирано из оригинала (PDF) 26. 01. 2021. г. Приступљено 14. 04. 2022.
- Mnih, Volodymyr; Kavukcuoglu, Koray; Silver, David; Rusu, Andrei A.; Veness, Joel; Bellemare, Marc G.; Graves, Alex; Riedmiller, Martin; Fidjeland, Andreas K. (фебруар 2015). „Human-level control through deep reinforcement learning”. Nature (на језику: енглески). 518 (7540): 529—533. Bibcode:2015Natur.518..529M. ISSN 0028-0836. PMID 25719670. doi:10.1038/nature14236.
nips.cc (Global: low place; Serbian: low place)
papers.nips.cc
- van Hasselt, Hado (2011). „Double Q-learning” (PDF). Advances in Neural Information Processing Systems. 23: 2613—2622.
rhul.ac.uk (Global: low place; Serbian: low place)
cs.rhul.ac.uk
- Watkins, C.J.C.H. Learning from Delayed Rewards (PDF) (Теза). University of Cambridge.
storage.googleapis.com (Global: 5,609th place; Serbian: low place)
patentimages.storage.googleapis.com
- „Methods and Apparatus for Reinforcement Learning, US Patent #20150100530A1” (PDF). US Patent Office. 9. 4. 2015. Приступљено 28. 7. 2018.
ualberta.ca (Global: 3,600th place; Serbian: 5,793rd place)
webdocs.cs.ualberta.ca
- Sutton, Richard S.; Barto, Andrew G. „2.7 Optimistic Initial Values”. Reinforcement Learning: An Introduction. Архивирано из оригинала 2013-09-08. г. Приступљено 2013-07-18.
- Maei, Hamid; Szepesvári, Csaba; Bhatnagar, Shalabh; Sutton, Richard (2010). „Toward off-policy learning control with function approximation in Proceedings of the 27th International Conference on Machine Learning” (PDF). стр. 719—726. Архивирано из оригинала (PDF) 2012-09-08. г. Приступљено 2016-01-25.
ut.ee (Global: 8,317th place; Serbian: low place)
neuro.cs.ut.ee
- Matiisen, Tambet (19. 12. 2015). „Demystifying Deep Reinforcement Learning”. neuro.cs.ut.ee (на језику: енглески). Computational Neuroscience Lab. Архивирано из оригинала 07. 04. 2018. г. Приступљено 2018-04-06.
utl.pt (Global: low place; Serbian: low place)
users.isr.ist.utl.pt
- Melo, Francisco S. „Convergence of Q-learning: a simple proof” (PDF). Архивирано из оригинала (PDF) 18. 11. 2017. г. Приступљено 14. 04. 2022.
web.archive.org (Global: 1st place; Serbian: 1st place)
- Melo, Francisco S. „Convergence of Q-learning: a simple proof” (PDF). Архивирано из оригинала (PDF) 18. 11. 2017. г. Приступљено 14. 04. 2022.
- Matiisen, Tambet (19. 12. 2015). „Demystifying Deep Reinforcement Learning”. neuro.cs.ut.ee (на језику: енглески). Computational Neuroscience Lab. Архивирано из оригинала 07. 04. 2018. г. Приступљено 2018-04-06.
- Sutton, Richard S.; Barto, Andrew G. „2.7 Optimistic Initial Values”. Reinforcement Learning: An Introduction. Архивирано из оригинала 2013-09-08. г. Приступљено 2013-07-18.
- Shteingart, Hanan; Neiman, Tal; Loewenstein, Yonatan (мај 2013). „The role of first impression in operant learning.” (PDF). Journal of Experimental Psychology: General (на језику: енглески). 142 (2): 476—488. ISSN 1939-2222. PMID 22924882. doi:10.1037/a0029550. Архивирано из оригинала (PDF) 26. 01. 2021. г. Приступљено 14. 04. 2022.
- van Hasselt, Hado; Guez, Arthur; Silver, David (2015). „Deep reinforcement learning with double Q-learning”. AAAI Conference on Artificial Intelligence: 2094—2100. arXiv:1509.06461 . Архивирано из оригинала (PDF) 06. 02. 2020. г. Приступљено 14. 04. 2022.
- Maei, Hamid; Szepesvári, Csaba; Bhatnagar, Shalabh; Sutton, Richard (2010). „Toward off-policy learning control with function approximation in Proceedings of the 27th International Conference on Machine Learning” (PDF). стр. 719—726. Архивирано из оригинала (PDF) 2012-09-08. г. Приступљено 2016-01-25.
worldcat.org (Global: 5th place; Serbian: 12th place)
- Shteingart, Hanan; Neiman, Tal; Loewenstein, Yonatan (мај 2013). „The role of first impression in operant learning.” (PDF). Journal of Experimental Psychology: General (на језику: енглески). 142 (2): 476—488. ISSN 1939-2222. PMID 22924882. doi:10.1037/a0029550. Архивирано из оригинала (PDF) 26. 01. 2021. г. Приступљено 14. 04. 2022.
- Mnih, Volodymyr; Kavukcuoglu, Koray; Silver, David; Rusu, Andrei A.; Veness, Joel; Bellemare, Marc G.; Graves, Alex; Riedmiller, Martin; Fidjeland, Andreas K. (фебруар 2015). „Human-level control through deep reinforcement learning”. Nature (на језику: енглески). 518 (7540): 529—533. Bibcode:2015Natur.518..529M. ISSN 0028-0836. PMID 25719670. doi:10.1038/nature14236.