World's Best Scientists 2026 revealed!
Joelle Pineau

Joelle Pineau

Award Badge
Computer Science
Canada
2025

D-Index & Metrics

Computer Science

D-Index
72
Citations
40375
World Ranking
1632
National Ranking
55

Research.com Recognitions

  • 2025 - Research.com Computer Science in Canada Leader Award
  • 2022 - Research.com Computer Science in Canada Leader Award
  • 2018 - Fellow of the Association for the Advancement of Artificial Intelligence (AAAI) For significant contributions to reinforcement learning, including planning and learning in complex partially-observable domains, and applications in robotics and healthcare.

Overview

Joelle Pineau is affiliated with McGill University in Canada and has a substantial body of research mainly in the field of computer science. Their work has contributed extensively to artificial intelligence, with significant publications in reinforcement learning and its applications across robotics and healthcare.

The main field of study for Pineau is computer science, with a focus on several subfields including:

  • Artificial Intelligence
  • Computer Vision and Pattern Recognition
  • Management Science and Operations Research
  • Radiology, Nuclear Medicine and Imaging
  • Statistical and Nonlinear Physics

The topics covered in their research reflect a broad and interdisciplinary approach:

  • Reinforcement Learning in Robotics
  • Topic Modeling
  • Domain Adaptation and Few-Shot Learning
  • Natural Language Processing Techniques
  • Multimodal Machine Learning Applications
  • Adversarial Robustness in Machine Learning
  • Advanced Bandit Algorithms Research

Pineau's recent papers reflect ongoing work in reproducibility and environmental impact in machine learning, as well as language modeling approaches. Notable publications include:

  • Improving Reproducibility in Machine Learning Research (A Report from the NeurIPS 2019 Reproducibility Program), 2020, arXiv (Cornell University)
  • Transparency and reproducibility in artificial intelligence, 2020, Nature
  • Towards the Systematic Reporting of the Energy and Carbon Footprints of Machine Learning, 2020, arXiv (Cornell University)
  • Masked Language Modeling and the Distributional Hypothesis: Order Word Matters Pre-training for Little, 2021, Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing

Their frequent coauthors include Koustuv Sinha, Amy Zhang, Douwe Kiela, Doina Precup, and Iulian Vlad Serban, indicating collaboration across various aspects of artificial intelligence research.

Joelle Pineau has published extensively in venues such as:

  • arXiv (Cornell University)
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • Nature Machine Intelligence
  • Zenodo (CERN European Organization for Nuclear Research)
  • Journal of Artificial Intelligence Research

Recognized by the Association for the Advancement of Artificial Intelligence, Pineau was named a Fellow in 2018 for contributions that include planning and learning in complex, partially observable domains and practical applications in robotics and healthcare.

Best Publications

  • Proceedings of the 29th International Conference on Machine Learning (ICML-12)

    John Langford;Joelle Pineau

  • Building end-to-end dialogue systems using generative hierarchical neural network models

    Iulian V. Serban;Alessandro Sordoni;Yoshua Bengio;Aaron Courville

  • Deep Reinforcement Learning That Matters

    Peter Henderson;Riashat Islam;Philip Bachman;Joelle Pineau

  • An Introduction to Deep Reinforcement Learning

    Vincent François-Lavet;Peter Henderson;Riashat Islam;Marc G. Bellemare

  • Point-based value iteration: an anytime algorithm for POMDPs

    Joelle Pineau;Geoff Gordon;Sebastian Thrun

  • How NOT To Evaluate Your Dialogue System: An Empirical Study of Unsupervised Evaluation Metrics for Dialogue Response Generation

    Chia-Wei Liu;Ryan Lowe;Iulian Vlad Serban;Michael Noseworthy

  • A Hierarchical Latent Variable Encoder-Decoder Model for Generating Dialogues

    Iulian Vlad Serban;Alessandro Sordoni;Ryan Lowe;Laurent Charlin

  • The Ubuntu Dialogue Corpus: A Large Dataset for Research in Unstructured Multi-Turn Dialogue Systems

    Ryan Lowe;Nissan Pow;Iulian Serban;Joelle Pineau

  • Towards robotic assistants in nursing homes: Challenges and results

    Joelle Pineau;Michael Montemerlo;Martha E. Pollack;Nicholas Roy

  • A survey of point-based POMDP solvers

    Guy Shani;Joelle Pineau;Robert Kaplow

  • Online planning algorithms for POMDPs

    Stéphane Ross;Joelle Pineau;Sébastien Paquet;Brahim Chaib-draa

  • An Actor-Critic Algorithm for Sequence Prediction

    Dzmitry Bahdanau;Philemon Brakel;Kelvin Xu;Anirudh Goyal

  • Anytime point-based approximations for large POMDPs

    Joelle Pineau;Geoffrey Gordon;Sebastian Thrun

  • The Second Conversational Intelligence Challenge (ConvAI2)

    Emily Dinan;Varvara Logacheva;Valentin Malykh;Alexander H. Miller

  • The importance of transparency and reproducibility in artificial intelligence research

    Benjamin Haibe-Kains;George Alexandru Adam;Ahmed Hosny;Farnoosh Khodakarami

  • Towards an automatic Turing test: Learning to evaluate dialogue responses.

    Ryan Lowe;Michael Noseworthy;Iulian Vlad Serban;Nicolas Angelard-Gontier

  • Experiences with a mobile robotic guide for the elderly

    Michael Montemerlo;Joelle Pineau;Nicholas Roy;Sebastian Thrun

  • Bayesian Reinforcement Learning: A Survey

    Mohammad Ghavamzadeh;Shie Mannor;Joelle Pineau;Aviv Tamar

  • Pearl: A Mobile Robotic Assistant for the Elderly

    Martha E. Pollack;Laura Brown;Dirk Colbry;Cheryl Orosz

  • Spoken dialogue management using probabilistic reasoning

    Nicholas Roy;Joelle Pineau;Sebastian Thrun

  • Convex Optimization: Algorithms and Complexity

    Mohammed Ghavamzadeh;Shie Mannor;Joelle Pineau;Aviv Tamar

Frequent Co-Authors

Doina Precup
Doina Precup McGill University
Yoshua Bengio
Yoshua Bengio University of Montreal
Peter Henderson
Peter Henderson University of Oxford
Aaron Courville
Aaron Courville University of Montreal
Sebastian Thrun
Sebastian Thrun Stanford University
Brahim Chaib-draa
Brahim Chaib-draa Université Laval
Douwe Kiela
Douwe Kiela Stanford University
Jakob Foerster
Jakob Foerster University of Oxford
Michael Rabbat
Michael Rabbat Facebook (United States)

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