PPaperPicks

Doina Precup

McGill University, Montreal, Canada

27 papers at tracked venues · 21 at CORE A* · active 2024–2026

DBLP profile ↗ORCID 0000-0003-4718-9851 ↗Google Scholar ↗Homepage ↗

Venues

NeurIPS ×10ICLR ×6ICML ×4AISTATS ×3AAAI ×1AAMAS ×1IJCAI ×1UAI ×1

Frequent coauthors

Mark Rowland
×3
Haque Ishfaq
×3
Yoshua Bengio
×3
André Barreto
×2
Hugo Larochelle
×2
Martin Klissarov
×2
Amy Zhang
×2
Clare Lyle
×2
Harry Zhao
×2
Romain Laroche
×2
Gintare Karolina Dziugaite
×2
Ankit Anand
×2

Papers

  1. Bootstrapping Personalized Insulin Therapy via Model-Based Reinforcement Learning: An In Silico Study
    AAAI 2026 ·
    Sumana Basu
    ,
    Flemming Kondrup
    ,
    Adriana Romero-Soriano
    , Doina Precup
  2. Capturing Individual Human Preferences with Reward Features
    NeurIPS 2025 ·
    André Barreto
    ,
    Vincent Dumoulin
    ,
    Yiran Mao
    ,
    Mark Rowland
    ,
    Nicolas Perez Nieves
    ,
    Bobak Shahriari
    ,
    Yann N. Dauphin
    , Doina Precup,
    Hugo Larochelle
  3. Langevin Soft Actor-Critic: Efficient Exploration through Uncertainty-Driven Critic Learning
    ICLR 2025 ·
    Haque Ishfaq
    ,
    Guangyuan Wang
    ,
    Sami Nur Islam
    , Doina Precup
  4. MaestroMotif: Skill Design from Artificial Intelligence Feedback
    ICLR 2025 ·
    Martin Klissarov
    ,
    Mikael Henaff
    ,
    Roberta Raileanu
    ,
    Shagun Sodhani
    ,
    Pascal Vincent
    ,
    Amy Zhang
    ,
    Pierre-Luc Bacon
    , Doina Precup,
    Marlos C. Machado
    ,
    Pierluca D'Oro
  5. Plasticity as the Mirror of Empowerment
    NeurIPS 2025 ·
    David Abel
    ,
    Michael Bowling
    ,
    André Barreto
    ,
    Will Dabney
    ,
    Shi Dong
    ,
    Steven Hansen
    ,
    Anna Harutyunyan
    ,
    Khimya Khetarpal
    ,
    Clare Lyle
    ,
    Razvan Pascanu
    ,
    Georgios Piliouras
    , Doina Precup,
    Jonathan Richens
    ,
    Mark Rowland
    ,
    Tom Schaul
    ,
    Satinder P. Singh
  6. Rejecting Hallucinated State Targets during Planning
    ICML 2025 ·
    Harry Zhao
    ,
    Tristan Sylvain
    ,
    Romain Laroche
    , Doina Precup,
    Yoshua Bengio
  7. Selective Unlearning via Representation Erasure Using Domain Adversarial Training
    ICLR 2025 ·
    Nazanin Mohammadi Sepahvand
    ,
    Eleni Triantafillou
    ,
    Hugo Larochelle
    , Doina Precup,
    James J. Clark
    ,
    Daniel M. Roy
    ,
    Gintare Karolina Dziugaite
  8. Soft Condorcet Optimization for Ranking of General Agents
    AAMAS 2025 ·
    Marc Lanctot
    ,
    Kate Larson
    ,
    Michael Kaisers
    ,
    Quentin Berthet
    ,
    Ian Gemp
    ,
    Manfred Diaz
    ,
    Roberto-Rafael Maura-Rivero
    ,
    Yoram Bachrach
    ,
    Anna Koop
    , Doina Precup
  9. Training Language Models to Self-Correct via Reinforcement Learning
    ICLR 2025 ·
    Aviral Kumar
    ,
    Vincent Zhuang
    ,
    Rishabh Agarwal
    ,
    Yi Su
    ,
    John D. Co-Reyes
    ,
    Avi Singh
    ,
    Kate Baumli
    ,
    Shariq Iqbal
    ,
    Colton Bishop
    ,
    Rebecca Roelofs
    ,
    Lei M. Zhang
    ,
    Kay McKinney
    ,
    Disha Shrivastava
    ,
    Cosmin Paduraru
    ,
    George Tucker
    , Doina Precup,
    Feryal M. P. Behbahani
    ,
    Aleksandra Faust
  10. Uncovering a Universal Abstract Algorithm for Modular Addition in Neural Networks
    NeurIPS 2025 ·
    Gavin McCracken
    ,
    Gabriela Moisescu-Pareja
    ,
    Vincent Létourneau
    , Doina Precup,
    Jonathan Love
  11. Adaptive Exploration for Data-Efficient General Value Function Evaluations
    NeurIPS 2024 ·
    Arushi Jain
    ,
    Josiah Hanna
    , Doina Precup
  12. Code as Reward: Empowering Reinforcement Learning with VLMs
    ICML 2024 ·
    David Venuto
    ,
    Mohammad Sami Nur Islam
    ,
    Martin Klissarov
    , Doina Precup,
    Sherry Yang
    ,
    Ankit Anand
  13. Conditions on Preference Relations that Guarantee the Existence of Optimal Policies
    AISTATS 2024 ·
    Jonathan Colaço Carr
    ,
    Prakash Panangaden
    , Doina Precup
  14. Consciousness-Inspired Spatio-Temporal Abstractions for Better Generalization in Reinforcement Learning
    ICLR 2024 ·
    Harry Zhao
    ,
    Safa Alver
    ,
    Harm van Seijen
    ,
    Romain Laroche
    , Doina Precup,
    Yoshua Bengio
  15. Discrete Probabilistic Inference as Control in Multi-path Environments
    UAI 2024 ·
    Tristan Deleu
    ,
    Padideh Nouri
    ,
    Nikolay Malkin
    , Doina Precup,
    Yoshua Bengio
  16. Efficient Reinforcement Learning by Discovering Neural Pathways
    NeurIPS 2024 ·
    Samin Yeasar Arnob
    ,
    Riyasat Ohib
    ,
    Sergey M. Plis
    ,
    Amy Zhang
    ,
    Alessandro Sordoni
    , Doina Precup
  17. Finding Increasingly Large Extremal Graphs with AlphaZero and Tabu Search
    IJCAI 2024 ·
    Abbas Mehrabian
    ,
    Ankit Anand
    ,
    Hyunjik Kim
    ,
    Nicolas Sonnerat
    ,
    Matej Balog
    ,
    Gheorghe Comanici
    ,
    Tudor Berariu
    ,
    Andrew Lee
    ,
    Anian Ruoss
    ,
    Anna Bulanova
    ,
    Daniel Toyama
    ,
    Sam Blackwell
    ,
    Bernardino Romera-Paredes
    ,
    Petar Velickovic
    ,
    Laurent Orseau
    ,
    Joonkyung Lee
    ,
    Anurag Murty Naredla
    , Doina Precup,
    Adam Zsolt Wagner
  18. Learning Successor Features the Simple Way
    NeurIPS 2024 ·
    Raymond Chua
    ,
    Arna Ghosh
    ,
    Christos Kaplanis
    ,
    Blake A. Richards
    , Doina Precup
  19. Mixtures of Experts Unlock Parameter Scaling for Deep RL
    ICML 2024 ·
    Johan S. Obando-Ceron
    ,
    Ghada Sokar
    ,
    Timon Willi
    ,
    Clare Lyle
    ,
    Jesse Farebrother
    ,
    Jakob Nicolaus Foerster
    ,
    Gintare Karolina Dziugaite
    , Doina Precup,
    Pablo Samuel Castro
  20. Nash Learning from Human Feedback
    ICML 2024 ·
    Rémi Munos
    ,
    Michal Valko
    ,
    Daniele Calandriello
    ,
    Mohammad Gheshlaghi Azar
    ,
    Mark Rowland
    ,
    Daniel Guo
    ,
    Yunhao Tang
    ,
    Matthieu Geist
    ,
    Thomas Mesnard
    ,
    Côme Fiegel
    ,
    Andrea Michi
    ,
    Marco Selvi
    ,
    Sertan Girgin
    ,
    Nikola Momchev
    ,
    Olivier Bachem
    ,
    Daniel J. Mankowitz
    , Doina Precup,
    Bilal Piot
  21. Offline Multitask Representation Learning for Reinforcement Learning
    NeurIPS 2024 ·
    Haque Ishfaq
    ,
    Thanh Nguyen-Tang
    ,
    Songtao Feng
    ,
    Raman Arora
    ,
    Mengdi Wang
    ,
    Ming Yin
    , Doina Precup
  22. On learning history-based policies for controlling Markov decision processes
    AISTATS 2024 ·
    Gandharv Patil
    ,
    Aditya Mahajan
    , Doina Precup
  23. On the Privacy of Selection Mechanisms with Gaussian Noise
    AISTATS 2024 ·
    Jonathan Lebensold
    , Doina Precup,
    Borja Balle
  24. Parseval Regularization for Continual Reinforcement Learning
    NeurIPS 2024 ·
    Wesley Chung
    ,
    Lynn Cherif
    , Doina Precup,
    David Meger
  25. Provable and Practical: Efficient Exploration in Reinforcement Learning via Langevin Monte Carlo
    ICLR 2024 ·
    Haque Ishfaq
    ,
    Qingfeng Lan
    ,
    Pan Xu
    ,
    A. Rupam Mahmood
    , Doina Precup,
    Anima Anandkumar
    ,
    Kamyar Azizzadenesheli
  26. QGFN: Controllable Greediness with Action Values
    NeurIPS 2024 ·
    Elaine Lau
    ,
    Stephen Zhewen Lu
    ,
    Ling Pan
    , Doina Precup,
    Emmanuel Bengio
  27. ReactZyme: A Benchmark for Enzyme-Reaction Prediction
    NeurIPS 2024 ·
    Chenqing Hua
    ,
    Bozitao Zhong
    ,
    Sitao Luan
    ,
    Liang Hong
    ,
    Guy Wolf
    , Doina Precup,
    Shuangjia Zheng