List of works - Joëlle Pineau

A Variance Analysis for POMDP Policy Evaluation

scientific article

A bistable computational model of recurring epileptiform activity as observed in rodent slice preparations

scientific article published on 10 March 2011

A decision-theoretic approach for the collaborative control of a smart wheelchair

scientific article published on 28 October 2017

A multiple imputation strategy for sequential multiple assignment randomized trials

scientific article

A multiple imputation strategy for sequential multiple assignment randomized trials

scientific article published on 14 March 2017

Adaptive control of epileptiform excitability in an in vitro model of limbic seizures

scientific article published on 09 January 2013

Adversarial Soft Advantage Fitting: Imitation Learning without Policy Optimization ⬇️

scientific article published in November 2020

An Introduction to Deep Reinforcement Learning

scholarly article by Vincent François-Lavet et al published 2018 in Foundations and Trends® in Machine Learning

Applying Metric-Trees to Belief-Point POMDPs ⬇️

scientific article published in January 2004

Automatic Detection and Classification of Unsafe Events During Power Wheelchair Use.

scientific article published on 30 October 2014

Automatically suggesting topics for augmenting text documents

scientific article published on 26 October 2010

Bayes-Adaptive POMDPs ⬇️

scientific article published in January 2008

Bellman Error Based Feature Generation using Random Projections on Sparse Spaces ⬇️

Completing wikipedia's hyperlink structure through dimensionality reduction

scientific article published on 10 November 2009

Constructing evidence-based treatment strategies using methods from computer science

scientific article published on 21 February 2007

Design and validation of an intelligent wheelchair towards a clinically-functional outcome

scientific article published on 17 June 2013

Development of a polygenic risk score to improve screening for fracture risk: A genetic risk prediction study

scientific article published on 02 July 2020

Engagement and learning in simulation: recommendations of the Simnovate Engaged Learning Domain Group

Evidence-based modeling of network discharge dynamics during periodic pacing to control epileptiform activity

scientific article published on 08 December 2011

Exploring powered wheelchair users and their caregivers' perspectives on potential intelligent power wheelchair use: a qualitative study

scientific article published on 21 February 2014

Gossip-based Actor-Learner Architectures for Deep Reinforcement Learning ⬇️

scholarly article by Mahmoud ("Mido") Assran et al published 2019 in Advances in Neural Information Processing Systems 32

Informing sequential clinical decision-making through reinforcement learning: an empirical study

scientific article

Learning from Limited Demonstrations ⬇️

scientific article published in January 2013

MDPs with Non-Deterministic Policies ⬇️

scientific article

Manifold Embeddings for Model-Based Reinforcement Learning under Partial Observability ⬇️

scientific article published in January 2009

Mobility profile and wheelchair driving skills of powered wheelchair users: sensor-based event recognition using a support vector machine classifier

scientific article published in January 2011

Model-Based Bayesian Reinforcement Learning in Large Structured Domains

scientific article published on July 2008

Modeling Glucagon Action in Patients With Type 1 Diabetes

scientific article published on 20 July 2016

Multitask Spectral Learning of Weighted Automata ⬇️

scientific article published in January 2017

No-Press Diplomacy: Modeling Multi-Agent Gameplay ⬇️

Novelty Search in Representational Space for Sample Efficient Exploration ⬇️

On-line Reinforcement Learning Using Incremental Kernel-Based Stochastic Factorization ⬇️

scientific article published in January 2012

Online Planning Algorithms for POMDPs.

scientific article published on July 2008

PAC-Bayesian Model Selection for Reinforcement Learning ⬇️

scholarly article by Mahdi M. Fard & Joëlle Pineau published 2010 in Advances in Neural Information Processing Systems 23

POMDP Planning for Robust Robot Control

RapidBrachyDL: Rapid Radiation Dose Calculations in Brachytherapy via Deep Learning

scientific article published on 12 May 2020

Reinforcement Learning using Kernel-Based Stochastic Factorization ⬇️

scientific article published in January 2011

Reinforcement Learning with Limited Reinforcement: Using Bayes Risk for Active Learning in POMDPs

scientific article published on 01 January 2008

Rethinking Machine Learning Benchmarks in the Context of Professional Codes of Conduct

scientific article published on 26 February 2024

Robotic Assistance During Ambulation by Older Adults

Streaming kernel regression with provably adaptive mean, variance, and regularization

scientific article published in 2018

Temporal Regularization for Markov Decision Process ⬇️

The potential impact of intelligent power wheelchair use on social participation: perspectives of users, caregivers and clinicians.

scientific article published on 8 April 2014

Theoretical Analysis of Heuristic Search Methods for Online POMDPs ⬇️

scientific article published on January 2008

Time Series Analysis Using Geometric Template Matching

scientific article

Towards the Systematic Reporting of the Energy and Carbon Footprints of Machine Learning ⬇️

scientific article

Transparency and reproducibility in artificial intelligence

scientific article published on 14 October 2020

Treating epilepsy via adaptive neurostimulation: a reinforcement learning approach

scientific article published on August 2009

List of works by Joëlle Pineau

A Variance Analysis for POMDP Policy Evaluation

A bistable computational model of recurring epileptiform activity as observed in rodent slice preparations

A decision-theoretic approach for the collaborative control of a smart wheelchair

A multiple imputation strategy for sequential multiple assignment randomized trials

A multiple imputation strategy for sequential multiple assignment randomized trials

Adaptive control of epileptiform excitability in an in vitro model of limbic seizures

Adversarial Soft Advantage Fitting: Imitation Learning without Policy Optimization ⬇️

An Introduction to Deep Reinforcement Learning

Applying Metric-Trees to Belief-Point POMDPs ⬇️

Automatic Detection and Classification of Unsafe Events During Power Wheelchair Use.

Automatically suggesting topics for augmenting text documents

Bayes-Adaptive POMDPs ⬇️

Bellman Error Based Feature Generation using Random Projections on Sparse Spaces ⬇️

Completing wikipedia's hyperlink structure through dimensionality reduction

Constructing evidence-based treatment strategies using methods from computer science

Design and validation of an intelligent wheelchair towards a clinically-functional outcome

Development of a polygenic risk score to improve screening for fracture risk: A genetic risk prediction study

Engagement and learning in simulation: recommendations of the Simnovate Engaged Learning Domain Group

Evidence-based modeling of network discharge dynamics during periodic pacing to control epileptiform activity

Exploring powered wheelchair users and their caregivers' perspectives on potential intelligent power wheelchair use: a qualitative study

Gossip-based Actor-Learner Architectures for Deep Reinforcement Learning ⬇️

Informing sequential clinical decision-making through reinforcement learning: an empirical study

Learning from Limited Demonstrations ⬇️

MDPs with Non-Deterministic Policies ⬇️

Manifold Embeddings for Model-Based Reinforcement Learning under Partial Observability ⬇️

Mobility profile and wheelchair driving skills of powered wheelchair users: sensor-based event recognition using a support vector machine classifier

Model-Based Bayesian Reinforcement Learning in Large Structured Domains

Modeling Glucagon Action in Patients With Type 1 Diabetes

Multitask Spectral Learning of Weighted Automata ⬇️

No-Press Diplomacy: Modeling Multi-Agent Gameplay ⬇️

Novelty Search in Representational Space for Sample Efficient Exploration ⬇️

On-line Reinforcement Learning Using Incremental Kernel-Based Stochastic Factorization ⬇️

Online Planning Algorithms for POMDPs.

PAC-Bayesian Model Selection for Reinforcement Learning ⬇️

POMDP Planning for Robust Robot Control

RapidBrachyDL: Rapid Radiation Dose Calculations in Brachytherapy via Deep Learning

Reinforcement Learning using Kernel-Based Stochastic Factorization ⬇️

Reinforcement Learning with Limited Reinforcement: Using Bayes Risk for Active Learning in POMDPs

Rethinking Machine Learning Benchmarks in the Context of Professional Codes of Conduct

Robotic Assistance During Ambulation by Older Adults

Streaming kernel regression with provably adaptive mean, variance, and regularization

Temporal Regularization for Markov Decision Process ⬇️

The potential impact of intelligent power wheelchair use on social participation: perspectives of users, caregivers and clinicians.

Theoretical Analysis of Heuristic Search Methods for Online POMDPs ⬇️

Time Series Analysis Using Geometric Template Matching

Towards the Systematic Reporting of the Energy and Carbon Footprints of Machine Learning ⬇️

Transparency and reproducibility in artificial intelligence

Treating epilepsy via adaptive neurostimulation: a reinforcement learning approach