Difference between revisions of "Doina Precup"

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* [https://scholar.google.com/citations?user=jn5r6TsAAAAJ&hl=en Pablo Samuel Castro], [[Doina Precup]] ('''2010'''). ''[https://link.springer.com/chapter/10.1007/978-3-642-15880-3_19 Smarter Sampling in Model-Based Bayesian Reinforcement Learning]''. [https://dblp.uni-trier.de/db/conf/pkdd/pkdd2010-1.html#CastroP10 PKDD/ECML 2010]   
 
* [https://scholar.google.com/citations?user=jn5r6TsAAAAJ&hl=en Pablo Samuel Castro], [[Doina Precup]] ('''2010'''). ''[https://link.springer.com/chapter/10.1007/978-3-642-15880-3_19 Smarter Sampling in Model-Based Bayesian Reinforcement Learning]''. [https://dblp.uni-trier.de/db/conf/pkdd/pkdd2010-1.html#CastroP10 PKDD/ECML 2010]   
 
* [https://github.com/kuleshov Volodymyr Kuleshov], [[Doina Precup]] ('''2014'''). ''Algorithms for multi-armed bandit problems''. [https://arxiv.org/abs/1402.6028 arXiv:1402.6028]
 
* [https://github.com/kuleshov Volodymyr Kuleshov], [[Doina Precup]] ('''2014'''). ''Algorithms for multi-armed bandit problems''. [https://arxiv.org/abs/1402.6028 arXiv:1402.6028]
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* [https://scholar.google.ca/citations?user=yVtSOt8AAAAJ&hl=en Emmanuel Bengio], [https://scholar.google.ca/citations?user=9H77FYYAAAAJ&hl=en Pierre-Luc Bacon], [[Joelle Pineau]], [[Doina Precup]] ('''2015'''). ''Conditional Computation in Neural Networks for faster models''. [https://arxiv.org/abs/1511.06297 arXiv:1511.06297]
 
* [https://scholar.google.com/citations?user=dy_JBs0AAAAJ&hl=en Peter Henderson], [https://scholar.google.ca/citations?user=2_4Rs44AAAAJ&hl=en Riashat Islam], [[Philip Bachman]], [[Joelle Pineau]], [[Doina Precup]], [https://scholar.google.ca/citations?user=gFwEytkAAAAJ&hl=en David Meger] ('''2017'''). ''Deep Reinforcement Learning that Matters''. [https://arxiv.org/abs/1709.06560 arXiv:1709.06560]  
 
* [https://scholar.google.com/citations?user=dy_JBs0AAAAJ&hl=en Peter Henderson], [https://scholar.google.ca/citations?user=2_4Rs44AAAAJ&hl=en Riashat Islam], [[Philip Bachman]], [[Joelle Pineau]], [[Doina Precup]], [https://scholar.google.ca/citations?user=gFwEytkAAAAJ&hl=en David Meger] ('''2017'''). ''Deep Reinforcement Learning that Matters''. [https://arxiv.org/abs/1709.06560 arXiv:1709.06560]  
 
* [http://www.peterhenderson.co/ Peter Henderson], [https://scholar.google.ca/citations?user=2_4Rs44AAAAJ&hl=en Riashat Islam], [[Philip Bachman]], [[Joelle Pineau]], [[Doina Precup]], [https://scholar.google.ca/citations?user=gFwEytkAAAAJ&hl=en David Meger] ('''2017'''). ''Deep Reinforcement Learning that Matters''. [https://arxiv.org/abs/1709.06560 arXiv:1709.06560]
 
* [http://www.peterhenderson.co/ Peter Henderson], [https://scholar.google.ca/citations?user=2_4Rs44AAAAJ&hl=en Riashat Islam], [[Philip Bachman]], [[Joelle Pineau]], [[Doina Precup]], [https://scholar.google.ca/citations?user=gFwEytkAAAAJ&hl=en David Meger] ('''2017'''). ''Deep Reinforcement Learning that Matters''. [https://arxiv.org/abs/1709.06560 arXiv:1709.06560]

Latest revision as of 22:04, 12 April 2021

Home * People * Doina Precup

Doina Precup [1]

Doina Precup,
an Romanian computer scientist and Ph.D. in Computer Science from the University of Massachusetts, Amherst under advisor Richard Sutton in 2000 [2]. She defended her B.Sc. and M.Sc. degrees in computer science and engineering at the Technical University of Cluj-Napoca in 1994 and 1995 respectively. In July 2000, she joined the School of Computer Science at McGill University, and is also affiliated with DeepMind. Doina Precup’s research interests lie mainly in the field of machine learning. She is especially interested in the learning problems that face a decision-maker interacting with a complex, uncertain environment [3] .

Selected Publications

[4]

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External Links

References

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