Joelle Pineau

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Joëlle Pineau, (Joelle Pineau) a Canadian computer scientist, associate professor at McGill University and lead of Facebook's AI Research lab (FAIR) in Montreal, Quebec. Her research focuses on planning under uncertainty and Bayesian reinforcement learning in the domain of Partially Observable Markov Decision Processes (POMDPs) along with robotics. She received her Ph.D. on Tractable Planning Under Uncertainty in 2004 at Carnegie Mellon University under Geoffrey Gordon and Sebastian Thrun.

=Selected Publications=

2000 ...

 * David Goddeau, Joelle Pineau (2000). Fast reinforcement learning of dialog strategies. ICASSP 2000
 * Joelle Pineau, Sebastian Thrun (2002). An integrated approach to hierarchy and abstraction for POMDPs. CMU-RI-TR-02-21, Carnegie Mellon University, pdf
 * Joelle Pineau, Geoffrey Gordon, Sebastian Thrun (2003). Point-based value iteration: An anytime algorithm for POMDPs. IJCAI 2003, pdf
 * Joelle Pineau (2004). Tractable Planning Under Uncertainty: Exploiting Structure. Ph.D. thesis, Carnegie Mellon University, pdf
 * Joelle Pineau, Geoffrey Gordon, Sebastian Thrun (2006, 2011). Anytime Point-Based Approximations for Large POMDPs. Journal of Artificial Intelligence Research, Vol. 27, arXiv:1110.0027
 * Robert West, Joelle Pineau, Doina Precup (2009). Wikispeedia: An Online Game for Inferring Semantic Distances between Concepts. IJCAI 2009

2010 ...

 * Mahdi Milani Fard, Joelle Pineau, Csaba Szepesvári (2012). PAC-Bayesian Policy Evaluation for Reinforcement Learning. arXiv:1202.3717
 * Emmanuel Bengio, Pierre-Luc Bacon, Joelle Pineau, Doina Precup (2015). Conditional Computation in Neural Networks for faster models. arXiv:1511.06297
 * Mohammad Ghavamzadeh, Shie Mannor, Joelle Pineau, Aviv Tamar (2016). Bayesian Reinforcement Learning: A Survey. arXiv:1609.04436
 * Peter Henderson, Riashat Islam, Philip Bachman, Joelle Pineau, Doina Precup, David Meger (2017). Deep Reinforcement Learning that Matters. arXiv:1709.06560
 * Peter Henderson, Joshua Romoff, Joelle Pineau (2018). Where Did My Optimum Go?: An Empirical Analysis of Gradient Descent Optimization in Policy Gradient Methods. arXiv:1810.02525
 * Vincent Francois-Lavet, Peter Henderson, Riashat Islam, Marc G. Bellemare, Joelle Pineau (2018). An Introduction to Deep Reinforcement Learning. arXiv:1811.12560

2020 ...

 * Emmanuel Bengio, Joelle Pineau, Doina Precup (2020). Interference and Generalization in Temporal Difference Learning. arXiv:2003.06350
 * Joshua Romoff, Peter Henderson, David Kanaa, Emmanuel Bengio, Ahmed Touati, Pierre-Luc Bacon, Joelle Pineau (2020). TDprop: Does Jacobi Preconditioning Help Temporal Difference Learning? arXiv:2007.02786

=External Links=
 * Joëlle Pineau from Wikipedia
 * Joelle Pineau's Home
 * Joelle Pineau - CIFAR
 * Joelle Pineau - Google Scholar Citations
 * Joelle Pineau - The Mathematics Genealogy Project

=References= Up one level