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Pascal Poupart
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Year
An analytic solution to discrete Bayesian reinforcement learning
P Poupart, N Vlassis, J Hoey, K Regan
Proceedings of the 23rd international conference on Machine learning, 697-704, 2006
3662006
Exploiting structure to efficiently solve large scale partially observable Markov decision processes
P Poupart
University of Toronto, 2005
3342005
Point-based value iteration for continuous POMDPs
JM Porta, N Vlassis, MTJ Spaan, P Poupart
Massachusetts Institute of Technology, 2006
3082006
Automated handwashing assistance for persons with dementia using video and a partially observable Markov decision process
J Hoey, P Poupart, A von Bertoldi, T Craig, C Boutilier, A Mihailidis
Computer Vision and Image Understanding 114 (5), 503-519, 2010
3032010
Bounded finite state controllers
P Poupart, C Boutilier
Advances in neural information processing systems 16, 2003
2582003
A decision-theoretic approach to task assistance for persons with dementia
J Boger, P Poupart, J Hoey, C Boutilier, G Fernie, A Mihailidis
Ijcai, 1293-1299, 2005
2362005
Self-adaptive hierarchical sentence model
H Zhao, Z Lu, P Poupart
Twenty-fourth international joint conference on artificial intelligence, 2015
2312015
A planning system based on Markov decision processes to guide people with dementia through activities of daily living
J Boger, J Hoey, P Poupart, C Boutilier, G Fernie, A Mihailidis
IEEE Transactions on Information Technology in Biomedicine 10 (2), 323-333, 2006
2312006
Learning rate based branching heuristic for SAT solvers
JH Liang, V Ganesh, P Poupart, K Czarnecki
International Conference on Theory and Applications of Satisfiability …, 2016
2122016
Assisting persons with dementia during handwashing using a partially observable Markov decision process.
J Hoey, A Von Bertoldi, P Poupart, A Mihailidis
International Conference on Computer Vision Systems: Proceedings (2007), 2007
1952007
Constraint-based optimization and utility elicitation using the minimax decision criterion
C Boutilier, R Patrascu, P Poupart, D Schuurmans
Artificial Intelligence 170 (8-9), 686-713, 2006
1942006
Representation learning for dynamic graphs: A survey.
SM Kazemi, R Goel, K Jain, I Kobyzev, A Sethi, P Forsyth, P Poupart
J. Mach. Learn. Res. 21 (70), 1-73, 2020
1712020
Factored partially observable Markov decision processes for dialogue management
JD Williams, P Poupart, S Young
Proc. IJCAI Workshop on Knowledge and Reasoning in Practical Dialogue …, 2005
1682005
Value-directed compression of POMDPs
P Poupart, C Boutilier
Advances in neural information processing systems 15, 2002
1662002
Bayesian reputation modeling in e-marketplaces sensitive to subjectivity, deception and change
K Regan, P Poupart, R Cohen
AAAI, 1206-1212, 2006
1612006
Solving POMDPs with continuous or large discrete observation spaces
J Hoey, P Poupart
IJCAI, 1332-1338, 2005
1572005
Affective neural response generation
N Asghar, P Poupart, J Hoey, X Jiang, L Mou
European Conference on Information Retrieval, 154-166, 2018
1492018
Diachronic embedding for temporal knowledge graph completion
R Goel, SM Kazemi, M Brubaker, P Poupart
Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 3988-3995, 2020
1422020
Partially observable Markov decision processes with continuous observations for dialogue management
JD Williams, P Poupart, S Young
Recent Trends in Discourse and Dialogue, 191-217, 2008
1412008
Time2vec: Learning a vector representation of time
SM Kazemi, R Goel, S Eghbali, J Ramanan, J Sahota, S Thakur, S Wu, ...
arXiv preprint arXiv:1907.05321, 2019
1242019
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