Previously, I was a M.Sc. student in Computer Science at McGill University in Montréal. My research supervisor was Joelle Pineau. I was part of the Reasoning and Learning lab and I was a member of the McGill Center for Intelligent Machines.
Publications
Preprints:
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Guez, A., Silver, D., and Dayan, P. (2012) Efficient Bayes-Adaptive Reinforcement Learning using Sample-Based Search.
- Guez, A. (2010) Adaptive control of epileptic seizures using reinforcement learning. M.Sc. Thesis, McGill University.
- Pineau, J., Guez, A., Vincent, R., and Avoli, M. (2009) Treating Epilepsy via Adaptive Neurostimulation: A
Reinforcement Learning Approach. International Journal of Neural Systems. 19(4):227-40. [LINK]
- Guez, A. and Pineau, J. Multi-Tasking SLAM. International Conference on Robotics and Automation 2010.
[Video]
- Guez, A., Vincent, R., Avoli, M. and Pineau, J. (2008) Adaptive Treatment of Epilepsy via
Batch-mode Reinforcement Learning. Proceedings of the Twentieth Innovative Applications of Artificial Intelligence Conference. 1671-1678. Chicago, USA.
- Guez, A. and Pineau, J. (2009) Performing Tasks while doing Simultaneous Localization And Mapping.
NIPS Workshop on Probabilistic Approaches for Robotics and Control. Whistler, Canada.
[poster]
- Guez, A. and Pineau, J. (2009) Using Batch RL to Optimize Neurostimulation Strategies. Multidisciplinary
Symposium on Reinforcement Learning. Montréal, Canada.
- Paduraru, C., Guez, A., Precup, D., and Pineau, J. (2009) Model-based Bayesian Reinforcement
Learning with Adaptive State Aggregation. Multidisciplinary Symposium on Reinforcement Learning. Montréal, Canada.
- Bush, K., Pineau, J., Guez A., Vincent B., Panuccio G., and Avoli M. (2009) Dynamic Representations for Adaptive Neurostimulation Treatment of Epilepsy. 4th International Workshop on Seizure Prediction in Epilepsy. Kansas City, USA.
- Vincent, R., Guez, A., Courville, A., Avoli, M., and Pineau, J. (2007) A computational model of epilepsy and response to electrical stimulation. 3rd International Workshop on Seizure Prediction in Epilepsy. Freiburg, Germany.
Teaching
Teaching Assistant - Gatsby Unit's Unsupervised Learning course
Course Webpage: http://www.gatsby.ucl.ac.uk/teaching/courses/ml1-2011.html
Teaching Assistant - Gatsby Unit's Theoretical Neuroscience course
Course Webpage: http://www.gatsby.ucl.ac.uk/~aguez/tn1/
Teaching Assistant - McGill COMP 424 (Artificial Intelligence) Winter 2010
Course Webpage: http://www.cs.mcgill.ca/~dprecup/courses/ai.html
Course Webpage: http://www.gatsby.ucl.ac.uk/teaching/courses/ml1-2011.html
Teaching Assistant - Gatsby Unit's Theoretical Neuroscience course
Course Webpage: http://www.gatsby.ucl.ac.uk/~aguez/tn1/
Teaching Assistant - McGill COMP 424 (Artificial Intelligence) Winter 2010
Course Webpage: http://www.cs.mcgill.ca/~dprecup/courses/ai.html
Education and Awards
- Ph.D. student, 2010-present, Gatsby Computational Neuroscience Unit, University College London.
- M.Sc., McGill University, 2008-2010, Computer Science.
- B.Sc., McGill University, 2008. Joint Honours Mathematics and Computer Science, Cognitive Science minor. Graduated with First Class Honours.
- NSERC Alexander Graham Bell Canada Graduate Scholarship (CGS) D, 2010-2013.
- FQRNT Master research scholarship B1 - 2009-2010.
- NSERC Alexander Graham Bell Canada Graduate Scholarship (CGS) M, 2008-2009.
- CRA Outstanding Undergraduate Award, Honorable Mention, 2008.
- NSERC Undergraduate Student Research Award (USRA), Summer 2007.