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All publications by Pascal Poupart
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On the Relationship between Sum-Product Networks and Bayesian Networks
Han Zhao, Mazen Melibari and Pascal Poupart
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


Cost-Sensitive Exploration in Bayesian Reinforcement Learning
Dongho Kim, Kee-eung Kim and Pascal Poupart
Advances in Neural Information Processing Systems 25, 2012


Symbolic Dynamic Programming for Continuous State and Observation POMDPs
Zahra Zamani, Scott Sanner, Pascal Poupart and Kristian Kersting
Advances in Neural Information Processing Systems 25, 2012


Automated Refinement of Bayes Networks' Parameters based on Test Ordering Constraints
Omar Z. Khan, Pascal Poupart and John-mark M. Agosta
Advances in Neural Information Processing Systems 24, 2011


Asymptotic Theory for Linear-Chain Conditional Random Fields
Mathieu Sinn and Pascal Poupart
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics (AISTATS-11), 2011


An analytic solution to discrete Bayesian reinforcement learning
Pascal Poupart, Nikos A. Vlassis, Jesse Hoey and Kevin Regan
Proceedings of the 23th International Conference on Machine Learning (ICML-06), 2006


Point-Based Value Iteration for Continuous POMDPs
Josep M. Porta, Nikos A. Vlassis, Matthijs Spaan and Pascal Poupart
Journal of Machine Learning Research, 2006


Automated Hierarchy Discovery for Planning in Partially Observable Environments
Laurent Charlin, Pascal Poupart and Romy Shioda
Advances in Neural Information Processing Systems 19, 2006


VDCBPI: an Approximate Scalable Algorithm for Large POMDPs
Pascal Poupart and Craig Boutilier
Advances in Neural Information Processing Systems 17, 2004


Bounded Finite State Controllers
Pascal Poupart and Craig Boutilier
Advances in Neural Information Processing Systems 16, 2003


Value-Directed Compression of POMDPs
Pascal Poupart and Craig Boutilier
Advances in Neural Information Processing Systems 15, 2002