Joelle+Pineau

a Canadian computer scientist and associate professor at McGill University where she co-directs the //Reasoning and Learning Lab//. 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. || toc =Selected Publications=
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2002 ...

 * 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, [|pdf]
 * Joelle Pineau (**2004**). //Tractable Planning Under Uncertainty: Exploiting Structure//. Ph.D. thesis, Carnegie Mellon University, [|pdf]
 * [|Robert West], Joelle Pineau, Doina Precup (**2009**). //Wikispeedia: An Online Game for Inferring Semantic Distances between Concepts//. [|pdf]

2010 ...

 * [|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]

=External Links=
 * [|Joelle Pineau's Home]
 * [|Joelle Pineau - CIFAR]
 * [|Joelle Pineau - School of Computer Science, McGill University] - [|VideoLectures.NET]
 * [|Joelle Pineau - Google Scholar Citations]
 * [|Joelle Pineau - The Mathematics Genealogy Project]

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