Mostly harmless
I completed my Ph.D. in the
Reasoning and Learning Lab
of the
McGill University
School of Computer Science.
My advisor was
Joelle Pineau.
I studied the use of reinforcement learning for the optimization of chronic
medical treatment. These days I teach computer science
at Marianopolis College. Previously I was a research associate at the
McGill Centre for Integrative Neuroscience.
Contact
Cell: +1 514 945-9485
Email: ac.lliGcM.sc@nospamtreb
LinkedIn
Google Scholar
Mastodon
Publications
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Vincent, R., Neelin, P., Khalili-Mahani, N., Janke, A., Fonov, V.,
Robbins, S., Baghdadi, L., Lerch, J., Sled, J., Adalat, R., MacDonald,
D., Zijdenbos, A., Collins, D. L., and Evans, A. C. (2016) MINC 2.0: A
flexible format for multi-modal images. Frontiers in
Neuroinformatics doi:10.3389/fninf.2016.00035
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Vincent, R., Pineau, J., Ybarra, N., and El Naqa, I. (2015)
Practical reinforcement learning in dynamic treatment
regimes. Adaptive Treatment Strategies in Practice. Ed. Michael
R. Kosorok and Erica E. M. Moodie
doi:10.1137/1.9781611974188.ch16
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Panuccio, G., Guez, A., Vincent, R., Avoli, M., and Pineau, J. (2013)
Adaptive control of epileptiform excitability in an in vitro model of
limbic seizures. Experimental Neurology doi:10.1016/j.expneurol.2013.01.002.
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Vincent, R. D., Courville, A., and Pineau, J. (2011) A bistable
computational model of recurring epileptiform activity as observed in
rodent slice preparations. Neural Networks 24(66) 526-537 doi:10.1016/j.neunet.2011.03.00.
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Pineau, J., Guez, A., Vincent, R. D., Panuccio, G., and Avoli, M. (2009)
Treating epilepsy via adaptive neurostimulation: a reinforcement
learning approach. International Journal of Neural Systems 19(4)
227-240 doi:10.1142/S0129065709001987.
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Guez, A., Vincent, R. D., Avoli, M., and Pineau, J. (2008) Adaptive treatment of epilepsy via
batch-mode reinforcement learning. In Proceedings of the 20th
Conference on Innovative Applications of Artificial Intelligence,
Chicago, IL.
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Vincent, R. D., Pineau, J., de Guzman, P., and Avoli, M. (2007)
Recurrent boosting for classification of natural and synthetic time-series data.
In Proceedings of the 20th Canadian Conference on Artificial
Intelligence,
192-203 doi:10.1007/978-3-540-72665-4_17
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Vincent, R. D., Goldberg, Y., and Titone, D. (2006)
Anagram software for cognitive research that enables specification of
psycholinguistic variables. Behavior Research Methods 38(2), 196-201
doi:10.3758/BF03192769.
Teaching
Software
CELEX-2 Anagram program
Links
