| 2026 | AAAI | Bootstrapping Personalized Insulin Therapy via Model-Based Reinforcement Learning: An In Silico Study. | Sumana Basu, Flemming Kondrup, Adriana Romero-Soriano, Doina Precup |
| 2025 | ICLR | Langevin Soft Actor-Critic: Efficient Exploration through Uncertainty-Driven Critic Learning. | Haque Ishfaq, Guangyuan Wang, Sami Nur Islam, Doina Precup |
| 2025 | ICLR | MaestroMotif: Skill Design from Artificial Intelligence Feedback. | Martin Klissarov, Mikael Henaff, Roberta Raileanu, Shagun Sodhani, Pascal Vincent, Amy Zhang, Pierre-Luc Bacon, Doina Precup, Marlos C. Machado, Pierluca D'Oro |
| 2025 | ICLR | Training Language Models to Self-Correct via Reinforcement Learning. | 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 |
| 2025 | ICLR | Selective Unlearning via Representation Erasure Using Domain Adversarial Training. | Nazanin Mohammadi Sepahvand, Eleni Triantafillou, Hugo Larochelle, Doina Precup, James J. Clark, Daniel M. Roy, Gintare Karolina Dziugaite |
| 2025 | ICML | Rejecting Hallucinated State Targets during Planning. | Harry Zhao, Tristan Sylvain, Romain Laroche, Doina Precup, Yoshua Bengio |
| 2025 | ICONIP | Excitatory-Inhibitory Dynamics in Adaptive Decision-Making. | Veronica Chelu, Doina Precup |
| 2024 | AISTATS | Conditions on Preference Relations that Guarantee the Existence of Optimal Policies. | Jonathan Colao Carr, Prakash Panangaden, Doina Precup |
| 2024 | AISTATS | On the Privacy of Selection Mechanisms with Gaussian Noise. | Jonathan Lebensold, Doina Precup, Borja Balle |
| 2024 | AISTATS | On learning history-based policies for controlling Markov decision processes. | Gandharv Patil, Aditya Mahajan, Doina Precup |
| 2024 | ICASSP | CryCeleb: A Speaker Verification Dataset Based on Infant Cry Sounds. | David Budaghyan, Charles C. Onu, Arsenii Gorin, Cem Subakan, Doina Precup |
| 2024 | ICLR | Consciousness-Inspired Spatio-Temporal Abstractions for Better Generalization in Reinforcement Learning. | Harry Zhao, Safa Alver, Harm van Seijen, Romain Laroche, Doina Precup, Yoshua Bengio |
| 2024 | ICLR | Provable and Practical: Efficient Exploration in Reinforcement Learning via Langevin Monte Carlo. | Haque Ishfaq, Qingfeng Lan, Pan Xu, A. Rupam Mahmood, Doina Precup, Anima Anandkumar, Kamyar Azizzadenesheli |
| 2024 | ICML | Nash Learning from Human Feedback. | Rmi Munos, Michal Valko, Daniele Calandriello, Mohammad Gheshlaghi Azar, Mark Rowland, Daniel Guo, Yunhao Tang, Matthieu Geist, Thomas Mesnard, Cme Fiegel, Andrea Michi, Marco Selvi, Sertan Girgin, Nikola Momchev, Olivier Bachem, Daniel J. Mankowitz, Doina Precup, Bilal Piot |
| 2024 | ICML | Mixtures of Experts Unlock Parameter Scaling for Deep RL. | Johan S. Obando-Ceron, Ghada Sokar, Timon Willi, Clare Lyle, Jesse Farebrother, Jakob Nicolaus Foerster, Gintare Karolina Dziugaite, Doina Precup, Pablo Samuel Castro |
| 2024 | ICML | Code as Reward: Empowering Reinforcement Learning with VLMs. | David Venuto, Mohammad Sami Nur Islam, Martin Klissarov, Doina Precup, Sherry Yang, Ankit Anand |
| 2024 | IJCAI | Finding Increasingly Large Extremal Graphs with AlphaZero and Tabu Search. | 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 |
| 2024 | UAI | Discrete Probabilistic Inference as Control in Multi-path Environments. | Tristan Deleu, Padideh Nouri, Nikolay Malkin, Doina Precup, Yoshua Bengio |
| 2023 | AAAI | On the Challenges of Using Reinforcement Learning in Precision Drug Dosing: Delay and Prolongedness of Action Effects. | Sumana Basu, Marc-Andr Legault, Adriana Romero-Soriano, Doina Precup |
| 2023 | AAAI | Towards Safe Mechanical Ventilation Treatment Using Deep Offline Reinforcement Learning. | Flemming Kondrup, Thomas Jiralerspong, Elaine Lau, Nathan de Lara, Jacob Shkrob, My Duc Tran, Doina Precup, Sumana Basu |
| 2023 | AISTATS | Finite time analysis of temporal difference learning with linear function approximation: Tail averaging and regularisation. | Gandharv Patil, Prashanth L. A., Dheeraj Nagaraj, Doina Precup |
| 2023 | ICML | Multi-Environment Pretraining Enables Transfer to Action Limited Datasets. | David Venuto, Sherry Yang, Pieter Abbeel, Doina Precup, Igor Mordatch, Ofir Nachum |
| 2022 | ICLR | COptiDICE: Offline Constrained Reinforcement Learning via Stationary Distribution Correction Estimation. | Jongmin Lee, Cosmin Paduraru, Daniel J. Mankowitz, Nicolas Heess, Doina Precup, Kee-Eung Kim, Arthur Guez |
| 2022 | ICLR | Constructing a Good Behavior Basis for Transfer using Generalized Policy Updates. | Safa Alver, Doina Precup |
| 2022 | ICLR | Policy Gradients Incorporating the Future. | David Venuto, Elaine Lau, Doina Precup, Ofir Nachum |
| 2022 | ICML | Proving Theorems using Incremental Learning and Hindsight Experience Replay. | Eser Aygn, Ankit Anand, Laurent Orseau, Xavier Glorot, Stephen Marcus McAleer, Vlad Firoiu, Lei M. Zhang, Doina Precup, Shibl Mourad |
| 2022 | ICML | Why Should I Trust You, Bellman? The Bellman Error is a Poor Replacement for Value Error. | Scott Fujimoto, David Meger, Doina Precup, Ofir Nachum, Shixiang Shane Gu |
| 2022 | ICML | Improving Robustness against Real-World and Worst-Case Distribution Shifts through Decision Region Quantification. | Leo Schwinn, Leon Bungert, An Nguyen, Ren Raab, Falk Pulsmeyer, Doina Precup, Bjoern M. Eskofier, Dario Zanca |
| 2022 | IJCAI | On the Expressivity of Markov Reward (Extended Abstract). | David Abel, Will Dabney, Anna Harutyunyan, Mark K. Ho, Michael L. Littman, Doina Precup, Satinder Singh |
| 2022 | UAI | Towards painless policy optimization for constrained MDPs. | Arushi Jain, Sharan Vaswani, Reza Babanezhad, Csaba Szepesvari, Doina Precup |
| 2021 | AAAI | Variance Penalized On-Policy and Off-Policy Actor-Critic. | Arushi Jain, Gandharv Patil, Ayush Jain, Khimya Khetarpal, Doina Precup |
| 2021 | AAAI | Self-Supervised Attention-Aware Reinforcement Learning. | Haiping Wu, Khimya Khetarpal, Doina Precup |
| 2021 | ICALP | Optimal Spectral-Norm Approximate Minimization of Weighted Finite Automata. | Borja Balle, Clara Lacroce, Prakash Panangaden, Doina Precup, Guillaume Rabusseau |
| 2021 | ICML | Locally Persistent Exploration in Continuous Control Tasks with Sparse Rewards. | Susan Amin, Maziar Gomrokchi, Hossein Aboutalebi, Harsh Satija, Doina Precup |
| 2021 | ICML | Preferential Temporal Difference Learning. | Nishanth V. Anand, Doina Precup |
| 2021 | ICML | A Deep Reinforcement Learning Approach to Marginalized Importance Sampling with the Successor Representation. | Scott Fujimoto, David Meger, Doina Precup |
| 2021 | ICML | Randomized Exploration in Reinforcement Learning with General Value Function Approximation. | Haque Ishfaq, Qiwen Cui, Viet Nguyen, Alex Ayoub, Zhuoran Yang, Zhaoran Wang, Doina Precup, Lin Yang |
| 2020 | AAAI | Algorithmic Improvements for Deep Reinforcement Learning Applied to Interactive Fiction. | Vishal Jain, William Fedus, Hugo Larochelle, Doina Precup, Marc G. Bellemare |
| 2020 | AAAI | Options of Interest: Temporal Abstraction with Interest Functions. | Khimya Khetarpal, Martin Klissarov, Maxime Chevalier-Boisvert, Pierre-Luc Bacon, Doina Precup |
| 2020 | AAAI | Gifting in Multi-Agent Reinforcement Learning (Student Abstract). | Andrei Lupu, Doina Precup |
| 2020 | AISTATS | Value Preserving State-Action Abstractions. | David Abel, Nate Umbanhowar, Khimya Khetarpal, Dilip Arumugam, Doina Precup, Michael L. Littman |
| 2020 | AISTATS | A Distributional Analysis of Sampling-Based Reinforcement Learning Algorithms. | Philip Amortila, Doina Precup, Prakash Panangaden, Marc G. Bellemare |
| 2020 | AISTATS | Efficient Planning under Partial Observability with Unnormalized Q Functions and Spectral Learning. | Tianyu Li, Bogdan Mazoure, Doina Precup, Guillaume Rabusseau |
| 2020 | CogSci | Learning to cooperate: Emergent communication in multi-agent navigation. | Ivana Kajic, Eser Aygn, Doina Precup |
| 2020 | ICML | Invariant Causal Prediction for Block MDPs. | Amy Zhang, Clare Lyle, Shagun Sodhani, Angelos Filos, Marta Kwiatkowska, Joelle Pineau, Yarin Gal, Doina Precup |
| 2020 | ICML | Interference and Generalization in Temporal Difference Learning. | Emmanuel Bengio, Joelle Pineau, Doina Precup |
| 2020 | ICML | What can I do here? A Theory of Affordances in Reinforcement Learning. | Khimya Khetarpal, Zafarali Ahmed, Gheorghe Comanici, David Abel, Doina Precup |
| 2020 | IJCAI | SVRG for Policy Evaluation with Fewer Gradient Evaluations. | Zilun Peng, Ahmed Touati, Pascal Vincent, Doina Precup |
| 2019 | AAAI | Temporally Extended Metrics for Markov Decision Processes. | Philip Amortila, Marc G. Bellemare, Prakash Panangaden, Doina Precup |
| 2019 | AAAI | Combined Reinforcement Learning via Abstract Representations. | Vincent Franois-Lavet, Yoshua Bengio, Doina Precup, Joelle Pineau |
| 2019 | AAAI | Learning Options with Interest Functions. | Khimya Khetarpal, Doina Precup |
| 2019 | AAAI | Leveraging Observations in Bandits: Between Risks and Benefits. | Andrei Lupu, Audrey Durand, Doina Precup |
| 2019 | AISTATS | The Termination Critic. | Anna Harutyunyan, Will Dabney, Diana Borsa, Nicolas Heess, Rmi Munos, Doina Precup |
| 2019 | AISTATS | Connecting Weighted Automata and Recurrent Neural Networks through Spectral Learning. | Guillaume Rabusseau, Tianyu Li, Doina Precup |
| 2019 | CoRL | Navigation Agents for the Visually Impaired: A Sidewalk Simulator and Experiments. | Martin Weiss, Simon Chamorro, Roger Girgis, Margaux Luck, Samira Ebrahimi Kahou, Joseph Paul Cohen, Derek Nowrouzezahrai, Doina Precup, Florian Golemo, Chris Pal |
| 2019 | ICLR | Learning proposals for sequential importance samplers using reinforced variational inference. | Zafarali Ahmed, Arjun Karuvally, Doina Precup, Simon Gravel |
| 2019 | ICML | Off-Policy Deep Reinforcement Learning without Exploration. | Scott Fujimoto, David Meger, Doina Precup |
| 2019 | ICML | Per-Decision Option Discounting. | Anna Harutyunyan, Peter Vrancx, Philippe Hamel, Ann Now, Doina Precup |
| 2019 | IJCAI | Learning Modular Safe Policies in the Bandit Setting with Application to Adaptive Clinical Trials. | Hossein Aboutalebi, Doina Precup, Tibor Schuster |
| 2019 | IJCAI | Learning Reliable Policies in the Bandit Setting with Application to Adaptive Clinical Trials. | Hossein Aboutalebi, Doina Precup, Tibor Schuster |
| 2019 | Interspeech | Neural Transfer Learning for Cry-Based Diagnosis of Perinatal Asphyxia. | Charles C. Onu, Jonathan Lebensold, William L. Hamilton, Doina Precup |
| 2019 | ICRA | Uncertainty Aware Learning from Demonstrations in Multiple Contexts using Bayesian Neural Networks. | Sanjay Thakur, Herke van Hoof, Juan Camilo Gamboa Higuera, Doina Precup, David Meger |
| 2019 | MICCAI | Early Prediction of Alzheimer's Disease Progression Using Variational Autoencoders. | Sumana Basu, Konrad Wagstyl, Azar Zandifar, D. Louis Collins, Adriana Romero, Doina Precup |
| 2019 | MICCAI | Improving Pathological Structure Segmentation via Transfer Learning Across Diseases. | Barleen Kaur, Paul Lematre, Raghav Mehta, Nazanin Mohammadi Sepahvand, Doina Precup, Douglas L. Arnold, Tal Arbel |
| 2018 | AAAI | OptionGAN: Learning Joint Reward-Policy Options Using Generative Adversarial Inverse Reinforcement Learning. | Peter Henderson, Wei-Di Chang, Pierre-Luc Bacon, David Meger, Joelle Pineau, Doina Precup |
| 2018 | AAAI | Deep Reinforcement Learning That Matters. | Peter Henderson, Riashat Islam, Philip Bachman, Joelle Pineau, Doina Precup, David Meger |
| 2018 | AAAI | Learning Predictive State Representations From Non-Uniform Sampling. | Yuri Grinberg, Hossein Aboutalebi, Melanie Lyman-Abramovitch, Borja Balle, Doina Precup |
| 2018 | AAAI | When Waiting Is Not an Option: Learning Options With a Deliberation Cost. | Jean Harb, Pierre-Luc Bacon, Martin Klissarov, Doina Precup |
| 2018 | AAAI | Learning With Options That Terminate Off-Policy. | Anna Harutyunyan, Peter Vrancx, Pierre-Luc Bacon, Doina Precup, Ann Now |
| 2018 | AAAI | Imitation Upper Confidence Bound for Bandits on a Graph. | Andrei Lupu, Doina Precup |
| 2018 | AAAI | Learning Robust Options. | Daniel J. Mankowitz, Timothy A. Mann, Pierre-Luc Bacon, Doina Precup, Shie Mannor |
| 2018 | AISTATS | Nonlinear Weighted Finite Automata. | Tianyu Li, Guillaume Rabusseau, Doina Precup |
| 2018 | ICML | Convergent TREE BACKUP and RETRACE with Function Approximation. | Ahmed Touati, Pierre-Luc Bacon, Doina Precup, Pascal Vincent |
| 2018 | MICCAI | Exploring Uncertainty Measures in Deep Networks for Multiple Sclerosis Lesion Detection and Segmentation. | Tanya Nair, Doina Precup, Douglas L. Arnold, Tal Arbel |
| 2017 | AAAI | The Option-Critic Architecture. | Pierre-Luc Bacon, Jean Harb, Doina Precup |
| 2017 | AAAI | Real-Time Indoor Localization in Smart Homes Using Semi-Supervised Learning. | Negar Ghourchian, Michel Allegue-Martnez, Doina Precup |
| 2017 | EMNLP | World Knowledge for Reading Comprehension: Rare Entity Prediction with Hierarchical LSTMs Using External Descriptions. | Teng Long, Emmanuel Bengio, Ryan Lowe, Jackie Chi Kit Cheung, Doina Precup |
| 2017 | IJCAI | Approximate Value Iteration with Temporally Extended Actions (Extended Abstract). | Timothy A. Mann, Shie Mannor, Doina Precup |
| 2017 | MICCAI | Predicting Future Disease Activity and Treatment Responders for Multiple Sclerosis Patients Using a Bag-of-Lesions Brain Representation. | Andrew Doyle, Doina Precup, Douglas L. Arnold, Tal Arbel |
| 2016 | AAAI | Incremental Stochastic Factorization for Online Reinforcement Learning. | Andr da Motta Salles Barreto, Rafael L. Beirigo, Joelle Pineau, Doina Precup |
| 2016 | ACL | Leveraging Lexical Resources for Learning Entity Embeddings in Multi-Relational Data. | Teng Long, Ryan Lowe, Jackie Chi Kit Cheung, Doina Precup |
| 2016 | EMNLP | Verb Phrase Ellipsis Resolution Using Discriminative and Margin-Infused Algorithms. | Kian Kenyon-Dean, Jackie Chi Kit Cheung, Doina Precup |
| 2016 | ICML | Differentially Private Policy Evaluation. | Borja Balle, Maziar Gomrokchi, Doina Precup |
| 2016 | IJCAI | Learning Multi-Step Predictive State Representations. | Lucas Langer, Borja Balle, Doina Precup |
| 2015 | AAAI | Representation Discovery for MDPs Using Bisimulation Metrics. | Sherry Shanshan Ruan, Gheorghe Comanici, Prakash Panangaden, Doina Precup |
| 2015 | AAAI | Representation Discovery for MDPs Using Bisimulation Metrics. | Sherry Shanshan Ruan, Gheorghe Comanici, Prakash Panangaden, Doina Precup |
| 2015 | ICML | Variational Generative Stochastic Networks with Collaborative Shaping. | Philip Bachman, Doina Precup |
| 2015 | IJCAI | An Expectation-Maximization Algorithm to Compute a Stochastic Factorization From Data. | Andr da Motta Salles Barreto, Rafael L. Beirigo, Joelle Pineau, Doina Precup |
| 2015 | LICS | A Canonical Form for Weighted Automata and Applications to Approximate Minimization. | Borja Balle, Prakash Panangaden, Doina Precup |
| 2015 | UAI | Learning and Planning with Timing Information in Markov Decision Processes. | Pierre-Luc Bacon, Borja Balle, Doina Precup |
| 2014 | AI | Analyzing User Trajectories from Mobile Device Data with Hierarchical Dirichlet Processes. | Negar Ghourchian, Doina Precup |
| 2014 | CVPR | Iterative Multilevel MRF Leveraging Context and Voxel Information for Brain Tumour Segmentation in MRI. | Nagesh K. Subbanna, Doina Precup, Tal Arbel |
| 2014 | ECCV | Probabilistic Temporal Head Pose Estimation Using a Hierarchical Graphical Model. | Meltem Demirkus, Doina Precup, James J. Clark, Tal Arbel |
| 2014 | ICIP | Multi-layer temporal graphical model for head pose estimation in real-world videos. | Meltem Demirkus, Doina Precup, James J. Clark, Tal Arbel |
| 2014 | ICML | Sample-based approximate regularization. | Philip Bachman, Amir-massoud Farahmand, Doina Precup |
| 2014 | ICML | A new Q(lambda) with interim forward view and Monte Carlo equivalence. | Richard S. Sutton, Ashique Rupam Mahmood, Doina Precup, Hado van Hasselt |
| 2014 | UAI | Bisimulation Metrics are Optimal Value Functions. | Norman Ferns, Doina Precup |
| 2013 | AMIA | Using Hierarchical Mixture of Experts Model for Fusion of Outbreak Detection Methods. | Nastaran Jafarpour, Doina Precup, Masoumeh T. Izadi, David L. Buckeridge |
| 2013 | IAAI | Assessing the Predictability of Hospital Readmission Using Machine Learning. | Arian Hosseinzadeh, Masoumeh T. Izadi, Aman Verma, Doina Precup, David L. Buckeridge |
| 2013 | ICML | Average Reward Optimization Objective In Partially Observable Domains. | Yuri Grinberg, Doina Precup |
| 2013 | ICPRAM | Smart Classifier Selection for Activity Recognition on Wearable Devices. | Negar Ghourchian, Doina Precup |
| 2013 | MICCAI | Hierarchical Probabilistic Gabor and MRF Segmentation of Brain Tumours in MRI Volumes. | Nagesh K. Subbanna, Doina Precup, D. Louis Collins, Tal Arbel |
| 2012 | AAAI | Compressed Least-Squares Regression on Sparse Spaces. | Mahdi Milani Fard, Yuri Grinberg, Joelle Pineau, Doina Precup |
| 2012 | AI | Mining Administrative Data to Predict Falls in the Elderly Population. | Arian Hosseinzadeh, Masoumeh T. Izadi, Doina Precup, David L. Buckeridge |
| 2012 | CVPR | Soft biometric trait classification from real-world face videos conditioned on head pose estimation. | Meltem Demirkus, Doina Precup, James J. Clark, Tal Arbel |
| 2012 | ICML | Improved Estimation in Time Varying Models. | Doina Precup, Philip Bachman |
| 2011 | AAAI | Learning Compact Representations of Time-Varying Processes. | Philip Bachman, Doina Precup |
| 2011 | AAAI | Basis Function Discovery Using Spectral Clustering and Bisimulation Metrics. | Gheorghe Comanici, Doina Precup |
| 2010 | AAAI | Using Bisimulation for Policy Transfer in MDPs. | Pablo Samuel Castro, Doina Precup |
| 2010 | AAAI | Activity and Gait Recognition with Time-Delay Embeddings. | Jordan Frank, Shie Mannor, Doina Precup |
| 2010 | CIKM | Automatically suggesting topics for augmenting text documents. | Robert West, Doina Precup, Joelle Pineau |
| 2010 | IAAI | A Machine Learning Approach to the Detection of Fetal Hypoxia during Labor and Delivery. | Philip A. Warrick, Emily F. Hamilton, Robert E. Kearney, Doina Precup |
| 2010 | ICML | Approximate Predictive Representations of Partially Observable Systems. | Monica Dinculescu, Doina Precup |
| 2009 | CIKM | Completing wikipedia's hyperlink structure through dimensionality reduction. | Robert West, Doina Precup, Joelle Pineau |
| 2009 | ICML | Fast gradient-descent methods for temporal-difference learning with linear function approximation. | Richard S. Sutton, Hamid Reza Maei, Doina Precup, Shalabh Bhatnagar, David Silver, Csaba Szepesvri, Eric Wiewiora |
| 2009 | IJCAI | Equivalence Relations in Fully and Partially Observable Markov Decision Processes. | Pablo Samuel Castro, Prakash Panangaden, Doina Precup |
| 2009 | IJCAI | Wikispeedia: An Online Game for Inferring Semantic Distances between Concepts. | Robert West, Joelle Pineau, Doina Precup |
| 2008 | AI | Point-Based Planning for Predictive State Representations. | Masoumeh T. Izadi, Doina Precup |
| 2008 | ICML | Reinforcement learning in the presence of rare events. | Jordan Frank, Shie Mannor, Doina Precup |
| 2007 | IJCAI | Context-Driven Predictions. | Marc G. Bellemare, Doina Precup |
| 2007 | IJCAI | Fast Image Alignment Using Anytime Algorithms. | Rupert Brooks, Tal Arbel, Doina Precup |
| 2007 | IJCAI | Using Linear Programming for Bayesian Exploration in Markov Decision Processes. | Pablo Samuel Castro, Doina Precup |
| 2007 | ICRA | A formal framework for robot learning and control under model uncertainty. | Robin Jaulmes, Joelle Pineau, Doina Precup |
| 2006 | AAAI | Representing Systems with Hidden State. | Christopher Hundt, Prakash Panangaden, Joelle Pineau, Doina Precup |
| 2006 | AI | Belief Selection in Point-Based Planning Algorithms for POMDPs. | Masoumeh T. Izadi, Doina Precup, Danielle Azar |
| 2006 | ICML | Automatic basis function construction for approximate dynamic programming and reinforcement learning. | Philipp W. Keller, Shie Mannor, Doina Precup |
| 2006 | PAKDD | Data Mining Using Relational Database Management Systems. | Beibei Zou, Xuesong Ma, Bettina Kemme, Glen Newton, Doina Precup |
| 2006 | UAI | Methods for Computing State Similarity in Markov Decision Processes. | Norm Ferns, Pablo Samuel Castro, Doina Precup, Prakash Panangaden |
| 2005 | IJCAI | Model minimization by linear PSR. | Masoumeh T. Izadi, Doina Precup |
| 2005 | IJCAI | Using core beliefs for point-based value iteration. | Masoumeh T. Izadi, Ajit V. Rajwade, Doina Precup |
| 2005 | UAI | Metrics for Markov Decision Processes with Infinite State Spaces. | Norm Ferns, Prakash Panangaden, Doina Precup |
| 2004 | AAAI | Metrics for Finite Markov Decision Processes. | Norm Ferns, Prakash Panangaden, Doina Precup |
| 2004 | UAI | Metrics for Finite Markov Decision Processes. | Norm Ferns, Prakash Panangaden, Doina Precup |
| 2003 | ICML | Combining TD-learning with Cascade-correlation Networks. | Franois Rivest, Doina Precup |
| 2003 | IJCAI | A Planning Algorithm for Predictive State Representations. | Masoumeh T. Izadi, Doina Precup |
| 2001 | ICML | Off-Policy Temporal Difference Learning with Function Approximation. | Doina Precup, Richard S. Sutton, Sanjoy Dasgupta |
| 2001 | ICTAI | Developing Collaborative Golog Agents by Reinforcement Learning. | Ioan Alfred Letia, Doina Precup |
| 2000 | ICML | Eligibility Traces for Off-Policy Policy Evaluation. | Doina Precup, Richard S. Sutton, Satinder Singh |
| 1998 | ICML | Classification Using Phi-Machines and Constructive Function Approximation. | Doina Precup, Paul E. Utgoff |
| 1998 | ICML | Intra-Option Learning about Temporally Abstract Actions. | Richard S. Sutton, Doina Precup, Satinder Singh |
| 1997 | ICML | Exponentiated Gradient Methods for Reinforcement Learning. | Doina Precup, Richard S. Sutton |
| 1997 | IDA | How to Find Big-Oh in Your Data Set (and How Not to). | Catherine C. McGeoch, Doina Precup, Paul R. Cohen |