Doina Precup

Venues

Frequent coauthors

Papers

1. Bootstrapping Personalized Insulin Therapy via Model-Based Reinforcement Learning: An In Silico Study
   AAAI 2026 ·

   Sumana Basu

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2. Capturing Individual Human Preferences with Reward Features
   NeurIPS 2025 ·

   André Barreto

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3. Langevin Soft Actor-Critic: Efficient Exploration through Uncertainty-Driven Critic Learning
   ICLR 2025 ·

   Haque Ishfaq

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4. MaestroMotif: Skill Design from Artificial Intelligence Feedback
   ICLR 2025 ·

   Martin Klissarov

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5. Plasticity as the Mirror of Empowerment
   NeurIPS 2025 ·

   David Abel

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6. Rejecting Hallucinated State Targets during Planning
   ICML 2025 ·

   Harry Zhao

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7. Selective Unlearning via Representation Erasure Using Domain Adversarial Training
   ICLR 2025 ·

   Nazanin Mohammadi Sepahvand

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8. Soft Condorcet Optimization for Ranking of General Agents
   AAMAS 2025 ·

   Marc Lanctot

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9. Training Language Models to Self-Correct via Reinforcement Learning
   ICLR 2025 ·

   Aviral Kumar

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10. Uncovering a Universal Abstract Algorithm for Modular Addition in Neural Networks
    NeurIPS 2025 ·

    Gavin McCracken

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11. Adaptive Exploration for Data-Efficient General Value Function Evaluations
    NeurIPS 2024 ·

    Arushi Jain

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12. Code as Reward: Empowering Reinforcement Learning with VLMs
    ICML 2024 ·

    David Venuto

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13. Conditions on Preference Relations that Guarantee the Existence of Optimal Policies
    AISTATS 2024 ·

    Jonathan Colaço Carr

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14. Consciousness-Inspired Spatio-Temporal Abstractions for Better Generalization in Reinforcement Learning
    ICLR 2024 ·

    Harry Zhao

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15. Discrete Probabilistic Inference as Control in Multi-path Environments
    UAI 2024 ·

    Tristan Deleu

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16. Efficient Reinforcement Learning by Discovering Neural Pathways
    NeurIPS 2024 ·

    Samin Yeasar Arnob

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17. Finding Increasingly Large Extremal Graphs with AlphaZero and Tabu Search
    IJCAI 2024 ·

    Abbas Mehrabian

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18. Learning Successor Features the Simple Way
    NeurIPS 2024 ·

    Raymond Chua

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19. Mixtures of Experts Unlock Parameter Scaling for Deep RL
    ICML 2024 ·

    Johan S. Obando-Ceron

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20. Nash Learning from Human Feedback
    ICML 2024 ·

    Rémi Munos

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21. Offline Multitask Representation Learning for Reinforcement Learning
    NeurIPS 2024 ·

    Haque Ishfaq

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22. On learning history-based policies for controlling Markov decision processes
    AISTATS 2024 ·

    Gandharv Patil

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23. On the Privacy of Selection Mechanisms with Gaussian Noise
    AISTATS 2024 ·

    Jonathan Lebensold

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24. Parseval Regularization for Continual Reinforcement Learning
    NeurIPS 2024 ·

    Wesley Chung

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25. Provable and Practical: Efficient Exploration in Reinforcement Learning via Langevin Monte Carlo
    ICLR 2024 ·

    Haque Ishfaq

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26. QGFN: Controllable Greediness with Action Values
    NeurIPS 2024 ·

    Elaine Lau

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27. ReactZyme: A Benchmark for Enzyme-Reaction Prediction
    NeurIPS 2024 ·

    Chenqing Hua

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