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Master's theses and Doctoral dissertations
Here are some of the master's thesis and doctoral dissertations in AI written by CAIAC members.
Each year, the best of them are awarded by CAIAC a best dissertation or best masters thesis award.
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- 2014 Regularized Reinforcement Learning with Performance Guarantees Doctoral dissertation McGill University
- 2014 Exploiting Relevance to Improve Robustness and Flexibility in Plan Generation and Execution Doctoral dissertation University of Toronto
- 2014 Fast Gradient Algorithms for Structured Sparsity Doctoral dissertation University of Alberta
- 2013 Intensional Cyberforensics Doctoral dissertation Concordia University
- 2013 Random Walk Planning: Theory, Practice, and Application Doctoral dissertation University of Alberta
- 2013 Algorithmes d’apprentissage profonds supervisés et non-supervisés: applications et résultats théoriques Master's thesis University of Montreal
- 2012 The Role of Information in Online Learning Doctoral dissertation University of Alberta
- 2012 L’atténuation statistique des surdétections d’un correcteur grammatical symbolique Master's thesis Université de Montréal
- 2012 A Fast MLP-based Learning Method and its Application to Mine Countermeasure Missions Master's thesis University of Ottawa
- 2011 Feature-Based Control of Physics-Based Character Animation Doctoral dissertation University of Toronto
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33rd Canadian Conference on Artificial Intelligence
12-15 May 2020, Ottawa, Ontario
