Doina Precup

发表

Temporal abstraction in reinforcement learning

Doina Precup, Richard S. Sutton, R. Sutton, 2000, ICML 2000.

Multiple Kernel Learning-Based Transfer Regression for Electric Load Forecasting

Doina Precup, Di Wu, Boyu Wang, 2020, IEEE Transactions on Smart Grid.

Undersampling and Bagging of Decision Trees in the Analysis of Cardiorespiratory Behavior for the Prediction of Extubation Readiness in Extremely Preterm Infants

Doina Precup, Lara J. Kanbar, Charles C. Onu, 2018, 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Incremental Stochastic Factorization for Online Reinforcement Learning

André da Motta Salles Barreto, Joelle Pineau, Doina Precup, 2016, AAAI.

Learning Modular Safe Policies in the Bandit Setting with Application to Adaptive Clinical Trials pdf

Doina Precup, Hossein Aboutalebi, Tibor Schuster, 2019, AISafety@IJCAI.

Real-Time Indoor Localization in Smart Homes Using Semi-Supervised Learning

Doina Precup, Negar Ghourchian, Michel Allegue-Martínez, 2017, AAAI.

A formal framework for robot learning and control under model uncertainty

Joelle Pineau, Doina Precup, Robin Jaulmes, 2007, Proceedings 2007 IEEE International Conference on Robotics and Automation.

RedAgent-2003: an autonomous, market-based supply-chain management agent

Doina Precup, Philipp W. Keller, Felix-Olivier Duguay, 2004, Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems, 2004. AAMAS 2004..

Learning Options with Interest Functions

Doina Precup, Khimya Khetarpal, Doina Precup, 2019, AAAI.

A Distributional Analysis of Sampling-Based Reinforcement Learning Algorithms

Marc G. Bellemare, Doina Precup, Prakash Panangaden, 2020, AISTATS.

A Fully Tensorized Recurrent Neural Network pdf

Doina Precup, Charles C. Onu, Jacob E. Miller, 2020, ArXiv.

Activity and Gait Recognition with Time-Delay Embeddings

Shie Mannor, Doina Precup, Jordan Frank, 2010, AAAI.

Learning Policies for Local Instruction Scheduling

Carla E. Brodley, Paul E. Utgoff, Doina Precup, 1997 .

Knowledge Representation for Reinforcement Learning using General Value Functions

Doina Precup, Shaobo Hou, Gheorghe Comanici, 2018 .

Improved Switching among Temporally Abstract Actions

Balaraman Ravindran, Doina Precup, Richard S. Sutton, 1998, NIPS.

Connecting Weighted Automata and Recurrent Neural Networks through Spectral Learning

Doina Precup, Tianyu Li, Guillaume Rabusseau, 2018, AISTATS.

Characterizing Markov Decision Processes

Doina Precup, Bohdana Ratitch, Doina Precup, 2002, ECML.

Convergent Temporal-Difference Learning with Arbitrary Smooth Function Approximation

Shalabh Bhatnagar, Doina Precup, Richard S. Sutton, 2009, NIPS.

Phylogenetic Manifold Regularization: A semi-supervised approach to predict transcription factor binding sites

François Laviolette, Mathieu Blanchette, Doina Precup, 2020, 2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Leveraging Lexical Resources for Learning Entity Embeddings in Multi-Relational Data pdf

Jackie Chi Kit Cheung, Doina Precup, Teng Long, 2016, ACL.

Exploring Uncertainty Measures in Deep Networks for Multiple Sclerosis Lesion Detection and Segmentation pdf

Doina Precup, Tal Arbel, Douglas L. Arnold, 2018, MICCAI.

Soft biometric trait classification from real-world face videos conditioned on head pose estimation

Doina Precup, Tal Arbel, James J. Clark, 2012, 2012 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops.

Gifting in Multi-Agent Reinforcement Learning (Student Abstract)

Doina Precup, Andrei Lupu, Doina Precup, 2020, AAAI.

Environments for Lifelong Reinforcement Learning pdf

Doina Precup, Khimya Khetarpal, A. P. Sarath Chandar, 2018, ArXiv.

Multi-Timescale, Gradient Descent, Temporal Difference Learning with Linear Options pdf

Doina Precup, Peeyush Kumar, 2017, ArXiv.

An Equivalence between Loss Functions and Non-Uniform Sampling in Experience Replay pdf

Doina Precup, David Meger, Scott Fujimoto, 2020, NeurIPS.

Temporal Regularization in Markov Decision Process

Joelle Pineau, Audrey Durand, Doina Precup, 2018, ArXiv.

Neural Transfer Learning for Cry-based Diagnosis of Perinatal Asphyxia pdf

Doina Precup, Charles C. Onu, William L. Hamilton, 2019, INTERSPEECH.

Horizontal and Vertical Self-Adaptive Cloud Controller with Reward Optimization for Resource Allocation

Doina Precup, Ricardo Sanz, Jesús Alejandro Cárdenes Cabré, 2017, 2017 International Conference on Cloud and Autonomic Computing (ICCAC).

Early Prediction of Alzheimer's Disease Progression Using Variational Autoencoders

D. Louis Collins, Azar Zandifar, Doina Precup, 2019, MICCAI.

Representation Discovery for MDPs Using Bisimulation Metrics

Doina Precup, Prakash Panangaden, Gheorghe Comanici, 2015, AAAI.

Approximate Value Iteration with Temporally Extended Actions

Shie Mannor, Doina Precup, Timothy A. Mann, 2015, J. Artif. Intell. Res..

Learning-based interactive segmentation using the maximum mean cycle weight formalism

Doina Precup, Theodore J. Perkins, D. Yang, 2017, Medical Imaging.

Independently Controllable Factors pdf

Philippe Beaudoin, Joelle Pineau, Yoshua Bengio, 2017, ArXiv.

Multi-time Models for Temporally Abstract Planning

Doina Precup, Richard S. Sutton, R. Sutton, 1997, NIPS.

Differentially Private Policy Evaluation

Doina Precup, Borja Balle, Maziar Gomrokchi, 2016, ICML.

Learning and Planning with Timing Information in Markov Decision Processes

Doina Precup, Borja Balle, Pierre-Luc Bacon, 2015, UAI.

Disentangling the independently controllable factors of variation by interacting with the world pdf

Philippe Beaudoin, Joelle Pineau, Yoshua Bengio, 2018, ArXiv.

Optimizing Energy Production Using Policy Search and Predictive State Representations

Michel Gendreau, Doina Precup, Yuri Grinberg, 2014, NIPS.

Eligibility Traces for Off-Policy Policy Evaluation

Doina Precup, Richard S. Sutton, Satinder P. Singh, 2000, ICML.

Time Series Analysis Using Geometric Template Matching

Shie Mannor, Joelle Pineau, Doina Precup, 2013, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Exploration in RL using MDP characteristics

Doina Precup, Bohdana Ratitch, Doina Precup, 2003 .

Bisimulation Metrics are Optimal Value Functions

Doina Precup, Norm Ferns, Doina Precup, 2014, UAI.

Training Matters: Unlocking Potentials of Deeper Graph Convolutional Neural Networks pdf

Doina Precup, Mingde Zhao, Xiao-Wen Chang, 2020, ArXiv.

Assessing Generalization in TD methods for Deep Reinforcement Learning

Joelle Pineau, Doina Precup, Emmanuel Bengio, 2019 .

A Canonical Form for Weighted Automata and Applications to Approximate Minimization

Doina Precup, Prakash Panangaden, Borja Balle, 2015, 2015 30th Annual ACM/IEEE Symposium on Logic in Computer Science.

Combining and adapting software quality predictive models by genetic algorithms

Houari A. Sahraoui, Balázs Kégl, Doina Precup, 2002, Proceedings 17th IEEE International Conference on Automated Software Engineering,.

Activity Recognition with Time-Delay Emobeddings

Shie Mannor, Doina Precup, Jordan Frank, 2011, AAAI Spring Symposium: Computational Physiology.

Prediction of extubation readiness in extreme preterm infants based on measures of cardiorespiratory variability

Doina Precup, Lara J. Kanbar, Karen A. Brown, 2012, 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Initializing Entity Representations in Relational Models

Jackie Chi Kit Cheung, Teng Long, Doina Precup, 2016 .

SVRG for Policy Evaluation with Fewer Gradient Evaluations pdf

Pascal Vincent, Doina Precup, Ahmed Touati, 2019, IJCAI.

Multi-Time Models for Reinforcement Learning

Doina Precup, Richard S. Sutton, R. Sutton, 2007 .

PAC-Learning of Markov Models with Hidden State

Joelle Pineau, Doina Precup, Ricard Gavaldà, 2006, ECML.

Reinforcement Learning Algorithms in Markov Decision Processes AAAI-10 Tutorial Part IV: Take home message

Doina Precup, Richard S. Sutton, Csaba Szepesvári, 2010 .

Correlation of clinical parameters with cardiorespiratory behavior in successfully extubated extremely preterm infants

Doina Precup, Lara J. Kanbar, Wissam Shalish, 2015, 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Deep Reinforcement Learning that Matters pdf

Philip Bachman, Joelle Pineau, Peter Henderson, 2017, AAAI.

Options of Interest: Temporal Abstraction with Interest Functions pdf

Doina Precup, Khimya Khetarpal, Pierre-Luc Bacon, 2020, AAAI.

Forethought and Hindsight in Credit Assignment pdf

Doina Precup, Hado van Hasselt, Veronica Chelu, 2020, NeurIPS.

How to Find Big-Oh in Your Data Set (and How Not to)

Paul R. Cohen, Doina Precup, Catherine C. McGeoch, 1997, IDA.

Planning with Closed Loop Macro Actions

Doina Precup, Richard S. Sutton, Satinder Singh, 2008 .

Interference and Generalization in Temporal Difference Learning pdf

Joelle Pineau, Doina Precup, Emmanuel Bengio, 2020, ICML.

Invariant Causal Prediction for Block MDPs pdf

Joelle Pineau, Doina Precup, Yarin Gal, 2020, ICML.

Where Off-Policy Deep Reinforcement Learning Fails

Doina Precup, David Meger, Scott Fujimoto, 2018 .

Verb Phrase Ellipsis Resolution Using Discriminative and Margin-Infused Algorithms

Jackie Chi Kit Cheung, Doina Precup, Kian Kenyon-Dean, 2016, EMNLP.

Learning and Discovery in Dynamical Systems with Hidden State

Joelle Pineau, Doina Precup, Prakash Panangaden, 2007 .

Using Linear Programming for Bayesian Exploration in Markov Decision Processes

Doina Precup, Pablo Samuel Castro, Doina Precup, 2007, IJCAI.

A Study of Approximate Inference in Probabilistic Relational Models

Doina Precup, Fabian Kaelin, Doina Precup, 2010, ACML.

Automated ongoing data validation and quality control of multi-institutional studies

Doina Precup, Lara J. Kanbar, Wissam Shalish, 2016, 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

The Option-Critic Architecture pdf

Doina Precup, Pierre-Luc Bacon, Jean Harb, 2016, AAAI.

A Study of Policy Gradient on a Class of Exactly Solvable Models pdf

Doina Precup, Prakash Panangaden, Rosie Zhao, 2020, ArXiv.

Metrics for Markov Decision Processes with Infinite State Spaces pdf

Doina Precup, Prakash Panangaden, Norm Ferns, 2005, UAI.

The Option Keyboard: Combining Skills in Reinforcement Learning

Doina Precup, Shaobo Hou, Gheorghe Comanici, 2021, NeurIPS.

A Brief Look at Generalization in Visual Meta-Reinforcement Learning pdf

Doina Precup, Safa Alver, 2020, ArXiv.

Belief Selection in Point-Based Planning Algorithms for POMDPs

Doina Precup, Masoumeh T. Izadi, Danielle Azar, 2006, Canadian Conference on AI.

Reinforcement Learning using Kernel-Based Stochastic Factorization

André da Motta Salles Barreto, Joelle Pineau, Doina Precup, 2011, NIPS.

What can I do here? A Theory of Affordances in Reinforcement Learning

Doina Precup, Khimya Khetarpal, Gheorghe Comanici, 2020, ICML.

Nonlinear Weighted Finite Automata

Doina Precup, Tianyu Li, Guillaume Rabusseau, 2018, AISTATS.

Bisimulation for Markov Decision Processes through Families of Functional Expressions

Doina Precup, Sophia Knight, Norm Ferns, 2014, Horizons of the Mind.

Metrics for Finite Markov Decision Processes pdf

Doina Precup, Prakash Panangaden, Norm Ferns, 2004, AAAI.

Developing collaborative Golog agents by reinforcement learning

Ioan Alfred Letia, Doina Precup, I. A. Letia, 2001, Proceedings 13th IEEE International Conference on Tools with Artificial Intelligence. ICTAI 2001.

Generating storylines from sensor data

Shie Mannor, Doina Precup, Jordan Frank, 2013, Pervasive Mob. Comput..

Sparse Distributed Memories for On-Line Value-Based Reinforcement Learning

Doina Precup, Bohdana Ratitch, Doina Precup, 2004, ECML.

Combined Reinforcement Learning via Abstract Representations

Joelle Pineau, Yoshua Bengio, Doina Precup, 2018, AAAI.

Learning with Pseudo-Ensembles

Philip Bachman, Doina Precup, Ouais Alsharif, 2014, NIPS.

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

André da Motta Salles Barreto, Joelle Pineau, Doina Precup, 2012, NIPS.

A Framework for Computing Bounds for the Return of a Policy

Joelle Pineau, Doina Precup, Cosmin Paduraru, 2011, EWRL.

Intra-Option Learning about Temporally Abstract Actions

Doina Precup, Richard S. Sutton, Satinder P. Singh, 1998, ICML.

Data Generation as Sequential Decision Making

Philip Bachman, Doina Precup, Doina Precup, 2015, NIPS.

On Average Reward Policy Evaluation in Infinite-State Partially Observable Systems

Doina Precup, Yuri Grinberg, Doina Precup, 2012, AISTATS.

Learning Robust Options pdf

Shie Mannor, Doina Precup, Timothy A. Mann, 2018, AAAI.

Crosslingual Implementation of Linguistic Taggers using a Bitext Corpus 6

Doina Precup, Hani Safadi, Richard Rose, 2008 .

Locally Persistent Exploration in Continuous Control Tasks with Sparse Rewards pdf

Doina Precup, Hossein Aboutalebi, Maziar Gomrokchi, 2020, ICML.

Entropy Regularization with Discounted Future State Distribution in Policy Gradient Methods pdf

Doina Precup, Pierre-Luc Bacon, Riashat Islam, 2019, ArXiv.

Between MOPs and Semi-MOP: Learning, Planning & Representing Knowledge at Multiple Temporal Scales

Doina Precup, Richard S. Sutton, Samar Singh, 1998 .

Neural Network Based Nonlinear Weighted Finite Automata pdf

Doina Precup, Tianyu Li, Guillaume Rabusseau, 2017, ArXiv.

Representation of Reinforcement Learning Policies in Reproducing Kernel Hilbert Spaces.

Joelle Pineau, Doina Precup, Thang Doan, 2020 .

Basis Function Discovery Using Spectral Clustering and Bisimulation Metrics

Doina Precup, Gheorghe Comanici, Doina Precup, 2011, AAAI.

Learning to cooperate: Emergent communication in multi-agent navigation pdf

Doina Precup, Ivana Kajic, Eser Aygün, 2020, CogSci.

Learning Options in Reinforcement Learning

Doina Precup, Martin Stolle, Doina Precup, 2002, SARA.

Learning to Schedule Straight-Line Code

Carla E. Brodley, Paul E. Utgoff, Doina Precup, 1997, NIPS.

Reports of the AAAI 2011 Conference Workshops

Henry Lieberman, David W. Aha, Christopher W. Geib, 2012, AI Mag..

Gifting in Multi-Agent Reinforcement Learning (Student Abstract)

Doina Precup, Andrei Lupu, 2020, AAAI.

Value Preserving State-Action Abstractions

Doina Precup, Khimya Khetarpal, Michael L. Littman, 2020, AISTATS.

Using Bisimulation for Policy Transfer in MDPs

Doina Precup, Pablo Samuel Castro, Doina Precup, 2010, AAAI.

Complete the Missing Half: Augmenting Aggregation Filtering with Diversification for Graph Convolutional Networks pdf

Doina Precup, Mingde Zhao, Xiao-Wen Chang, 2020, ArXiv.

Actor Critic with Differentially Private Critic pdf

Doina Precup, Borja Balle, Jonathan Lebensold, 2019, ArXiv.

Classification-Based Approximate Policy Iteration

André da Motta Salles Barreto, Doina Precup, Mohammad Ghavamzadeh, 2015, IEEE Transactions on Automatic Control.

A Machine Learning Approach to the Detection of Fetal Hypoxia during Labor and Delivery

Doina Precup, Robert E. Kearney, Philip A. Warrick, 2010, AI Mag..

Dyna Planning using a Feature Based Generative Model pdf

Doina Precup, Ryan Faulkner, Ryan Faulkner, 2018, ArXiv.

Uncertainty Aware Learning from Demonstrations in Multiple Contexts using Bayesian Neural Networks

Sanjay Thakur, Doina Precup, Herke van Hoof, 2019, ICRA.

Bisimulation Metrics for Continuous Markov Decision Processes

Doina Precup, Prakash Panangaden, Norm Ferns, 2011, SIAM J. Comput..

Theoretical Results on Reinforcement Learning with Temporally Abstract Options

Doina Precup, Richard S. Sutton, Satinder P. Singh, 1998, ECML.

Efficient Planning under Partial Observability with Unnormalized Q Functions and Spectral Learning

Doina Precup, Bogdan Mazoure, Guillaume Rabusseau, 2019, AISTATS.

Building Knowledge for AI Agents with Reinforcement Learning

Doina Precup, 2019, AAMAS.

Navigation Agents for the Visually Impaired: A Sidewalk Simulator and Experiments

Joseph Paul Cohen, Derek Nowrouzezahrai, Doina Precup, 2019, CoRL.

Approximate Value Iteration with Temporally Extended Actions (Extended Abstract)

Shie Mannor, Doina Precup, Timothy A. Mann, 2017, IJCAI.

Completing wikipedia's hyperlink structure through dimensionality reduction

Joelle Pineau, Doina Precup, Robert West, 2009, CIKM.

Equivalence Relations in Fully and Partially Observable Markov Decision Processes

Doina Precup, Prakash Panangaden, Pablo Samuel Castro, 2009, IJCAI.

Singular value automata and approximate minimization

Doina Precup, Prakash Panangaden, Borja Balle, 2017, Mathematical Structures in Computer Science.

Shaping representations through communication: community size effect in artificial learning systems pdf

Doina Precup, Angeliki Lazaridou, Charles Blundell, 2019, ArXiv.

APEX_SCOPE: A graphical user interface for visualization of multi-modal data in inter-disciplinary studies

Doina Precup, Lara J. Kanbar, Wissam Shalish, 2017, 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Active Learning in Partially Observable Markov Decision Processes

Joelle Pineau, Doina Precup, Robin Jaulmes, 2005, ECML.

Learning Multi-Step Predictive State Representations

Doina Precup, Borja Balle, Lucas Langer, 2016, IJCAI.

Learnings Options End-to-End for Continuous Action Tasks pdf

Doina Precup, Pierre-Luc Bacon, Martin Klissarov, 2017, ArXiv.

Predicting extubation readiness in extreme preterm infants based on patterns of breathing

Doina Precup, Lara J. Kanbar, Charles C. Onu, 2017, 2017 IEEE Symposium Series on Computational Intelligence (SSCI).

Off-Policy Temporal Difference Learning with Function Approximation

Sanjoy Dasgupta, Doina Precup, Richard S. Sutton, 2001, ICML.

Policy Evaluation Networks pdf

Tom Schaul, Doina Precup, Pierre-Luc Bacon, 2020, ArXiv.

Relative Value Function Approximation

Paul E. Utgoff, Doina Precup, 1997 .

A semi-Markov chain approach to modeling respiratory patterns prior to extubation in preterm infants

Doina Precup, Lara J. Kanbar, Charles C. Onu, 2017, 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

oIRL: Robust Adversarial Inverse Reinforcement Learning with Temporally Extended Actions pdf

Doina Precup, Jhelum Chakravorty, Gavin McCracken, 2020, ArXiv.

Model minimization by linear PSR

Doina Precup, Masoumeh T. Izadi, 2005, IJCAI.

Bayesian and grAphical Models for Biomedical Imaging

M. Jorge Cardoso, Doina Precup, Tal Arbel, 2014, Lecture Notes in Computer Science.

A new Q(lambda) with interim forward view and Monte Carlo equivalence

Doina Precup, Richard S. Sutton, Hado van Hasselt, 2014, ICML.

Basis refinement strategies for linear value function approximation in MDPs

Doina Precup, Prakash Panangaden, Gheorghe Comanici, 2015, NIPS.

Algorithmic Improvements for Deep Reinforcement Learning applied to Interactive Fiction pdf

Hugo Larochelle, Marc G. Bellemare, Doina Precup, 2019, AAAI.

Imitation Upper Confidence Bound for Bandits on a Graph

Doina Precup, Andrei Lupu, 2018, AAAI.

Convergent Tree-Backup and Retrace with Function Approximation pdf

Pascal Vincent, Doina Precup, Pierre-Luc Bacon, 2017, ICML.

Editorial on Special Issue on Probabilistic Models for Biomedical Image Analysis

William M. Wells, Doina Precup, Manuel Jorge Cardoso, 2016, Comput. Vis. Image Underst..

Fast reinforcement learning with generalized policy updates

Doina Precup, Shaobo Hou, André Barreto, 2020, Proceedings of the National Academy of Sciences.

Self-supervised Learning of Distance Functions for Goal-Conditioned Reinforcement Learning pdf

Doina Precup, Thang Doan, Srinivas Venkattaramanujam, 2019, ArXiv.

Representing Systems with Hidden State

Joelle Pineau, Doina Precup, Prakash Panangaden, 2006, AAAI.

Towards Continual Reinforcement Learning: A Review and Perspectives pdf

Doina Precup, Khimya Khetarpal, Irina Rish, 2020, ArXiv.

Organizational principles of cloud storage to support collaborative biomedical research

Doina Precup, Lara J. Kanbar, Wissam Shalish, 2015, 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Quantifying the determinants of outbreak detection performance through simulation and machine learning

Doina Precup, Masoumeh T. Izadi, David L. Buckeridge, 2015, J. Biomed. Informatics.

META-Learning State-based Eligibility Traces for More Sample-Efficient Policy Evaluation

Doina Precup, Mingde Zhao, Xiao-Wen Chang, 2020, AAMAS.

Horde: a scalable real-time architecture for learning knowledge from unsupervised sensorimotor interaction

Patrick M. Pilarski, Doina Precup, Richard S. Sutton, 2011, AAMAS.

Between MDPs and Semi-MDPs: A Framework for Temporal Abstraction in Reinforcement Learning

Doina Precup, Richard S. Sutton, Satinder P. Singh, 1999, Artif. Intell..

Community size effect in artificial learning systems

Doina Precup, Angeliki Lazaridou, Charles Blundell, 2019, ViGIL@NeurIPS.

A Study of Off-policy Learning in Computational Sustainability

Joelle Pineau, Doina Precup, 2012 .

Leveraging Observations in Bandits: Between Risks and Benefits

Audrey Durand, Doina Precup, Andrei Lupu, 2019, AAAI.

Automatically suggesting topics for augmenting text documents

Joelle Pineau, Doina Precup, Robert West, 2010, CIKM.

Learning Reliable Policies in the Bandit Setting with Application to Adaptive Clinical Trials

Doina Precup, Hossein Aboutalebi, Tibor Schuster, 2019, KHD@IJCAI.

Boosting Based Multiple Kernel Learning and Transfer Regression for Electricity Load Forecasting

Di Wu, Doina Precup, Boyu Wang, 2017, ECML/PKDD.

Off-policy Learning with Options and Recognizers

Doina Precup, Richard S. Sutton, Satinder P. Singh, 2005, NIPS.

Reinforcement learning in the presence of rare events

Shie Mannor, Doina Precup, Jordan Frank, 2008, ICML '08.

Faster and More Accurate Trace-based Policy Evaluation via Overall Target Error Meta-Optimization

Doina Precup, Mingde Zhao, Sitao Luan, 2019 .

Prediction of Disease Progression in Multiple Sclerosis Patients using Deep Learning Analysis of MRI Data

Doina Precup, Tal Arbel, Douglas L. Arnold, 2019, MIDL.

Theoretical results on the effect of ‘shortcut’ actions in MDPs

Doina Precup, Sara M. McCarthy, Doina Precup, 2014, Connect. Sci..

Iterative Multilevel MRF Leveraging Context and Voxel Information for Brain Tumour Segmentation in MRI

Doina Precup, Tal Arbel, Nagesh K. Subbanna, 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.

Using MDP Characteristics to Guide Exploration in Reinforcement Learning

Doina Precup, Bohdana Ratitch, Doina Precup, 2003, ECML.

Testing Visual Attention in Dynamic Environments pdf

Philip Bachman, Doina Precup, David Krueger, 2015, ArXiv.

Redagent: winner of TAC SCM 2003

Doina Precup, Philipp W. Keller, Felix-Olivier Duguay, 2004, SECO.

Safe option-critic: learning safety in the option-critic architecture pdf

Doina Precup, Khimya Khetarpal, Arushi Jain, 2018, The Knowledge Engineering Review.

Using label propagation for learning temporally abstract actions in reinforcement learning

Doina Precup, Pierre-Luc Bacon, Doina Precup, 2013 .

Learning with Options that Terminate Off-Policy pdf

Doina Precup, Peter Vrancx, Ann Nowé, 2017, AAAI.

Resolving Event Coreference with Supervised Representation Learning and Clustering-Oriented Regularization pdf

Jackie Chi Kit Cheung, Doina Precup, Kian Kenyon-Dean, 2018, *SEM@NAACL-HLT.

Marginalized State Distribution Entropy Regularization in Policy Optimization pdf

Doina Precup, Zafarali Ahmed, Riashat Islam, 2019, ArXiv.

Improving Pathological Structure Segmentation via Transfer Learning Across Diseases

Raghav Mehta, Doina Precup, Tal Arbel, 2019, DART/MIL3ID@MICCAI.

Exponentiated Gradient Methods for Reinforcement Learning

Doina Precup, Richard S. Sutton, R. Sutton, 1997, ICML.

Reward Propagation Using Graph Convolutional Networks pdf

Doina Precup, Martin Klissarov, 2020, NeurIPS.

The Barbados 2018 List of Open Issues in Continual Learning pdf

Martha White, Tom Schaul, Marc G. Bellemare, 2018, ArXiv.

An Empirical Analysis of Off-policy Learning in Discrete MDPs

Joelle Pineau, Doina Precup, Gheorghe Comanici, 2012, EWRL.

Hierarchical Probabilistic Gabor and MRF Segmentation of Brain Tumours in MRI Volumes

D. Louis Collins, Doina Precup, Tal Arbel, 2013, MICCAI.

Practical Kernel-Based Reinforcement Learning pdf

André da Motta Salles Barreto, Joelle Pineau, Doina Precup, 2014, J. Mach. Learn. Res..

Learning proposals for sequential importance samplers using reinforced variational inference

Doina Precup, Simon Gravel, Arjun Karuvally, 2019, DeepRLStructPred@ICLR.

IMaGe: Iterative Multilevel Probabilistic Graphical Model for Detection and Segmentation of Multiple Sclerosis Lesions in Brain MRI

Doina Precup, Tal Arbel, Douglas L. Arnold, 2015, IPMI.

On-the-Fly Algorithms for Bisimulation Metrics

Doina Precup, Prakash Panangaden, Gheorghe Comanici, 2012, 2012 Ninth International Conference on Quantitative Evaluation of Systems.

Policy Gradient Methods for Off-policy Control pdf

Doina Precup, Lucas Lehnert, Doina Precup, 2015, ArXiv.

Provably efficient reconstruction of policy networks pdf

Joelle Pineau, Doina Precup, Thang Doan, 2020, ArXiv.

Probabilistic Temporal Head Pose Estimation Using a Hierarchical Graphical Model

Doina Precup, Tal Arbel, James J. Clark, 2014, ECCV.

Independently Controllable Features pdf

Joelle Pineau, Yoshua Bengio, Doina Precup, 2017 .

A Planning Algorithm for Predictive State Representations

Doina Precup, Masoumeh T. Izadi, Doina Precup, 2003, IJCAI.

Recurrent Value Functions pdf

Joelle Pineau, Doina Precup, Pierre Thodoroff, 2019, ArXiv.

Generalized Classication-bas ed Approximate Policy Iteration

Doina Precup, Jan Peters, Mohammad Ghavamzadeh, 2012 .

Exploring uncertainty measures in deep networks for Multiple sclerosis lesion detection and segmentation

Doina Precup, Tal Arbel, Douglas L. Arnold, 2020, Medical Image Anal..

Variational Generative Stochastic Networks with Collaborative Shaping pdf

Philip Bachman, Doina Precup, Doina Precup, 2015, ICML.

Developing Collaborative Golog Agents by Reinforcement Learning

Ioan Alfred Letia, Doina Precup, 2002, Int. J. Artif. Intell. Tools.

Multi-layer temporal graphical model for head pose estimation in real-world videos

Doina Precup, Tal Arbel, James J. Clark, 2014, 2014 IEEE International Conference on Image Processing (ICIP).

Per-Decision Option Discounting

Doina Precup, Peter Vrancx, Ann Nowé, 2019, ICML.

AAAI Workshop - Technical Report: Preface

Doina Precup, Joseph Modayil, Satinder Singh, 2011, AAAI 2011.

Average Reward Optimization Objective In Partially Observable Domains

Doina Precup, Yuri Grinberg, Doina Precup, 2013, ICML.

Reproducibility of Benchmarked Deep Reinforcement Learning Tasks for Continuous Control pdf

Peter Henderson, Doina Precup, Maziar Gomrokchi, 2017, ArXiv.

Avoidance Learning Using Observational Reinforcement Learning pdf

Yoshua Bengio, Doina Precup, Rola Dali, 2019, ArXiv.

Feature selection and oversampling in analysis of clinical data for extubation readiness in extreme preterm infants

Doina Precup, Lara J. Kanbar, Wissam Shalish, 2015, 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Eligibility Traces for Options

Doina Precup, Ayush Jain, Doina Precup, 2018, AAMAS.

A Convergent Form of Approximate Policy Iteration

Doina Precup, Theodore J. Perkins, Doina Precup, 2002, NIPS.

Predicting Future Disease Activity and Treatment Responders for Multiple Sclerosis Patients Using a Bag-of-Lesions Brain Representation

Doina Precup, Andrew Doyle, Tal Arbel, 2017, MICCAI.

Learning Compact Representations of Time-Varying Processes

Philip Bachman, Doina Precup, 2011, AAAI.

Shaping representations through communication

Doina Precup, Angeliki Lazaridou, Charles Blundell, 2018 .

Augmenting learning using symmetry in a biologically-inspired domain pdf

Doina Precup, Abbas Abdolmaleki, Shruti Mishra, 2019, ArXiv.

Analyzing User Trajectories from Mobile Device Data with Hierarchical Dirichlet Processes

Doina Precup, Negar Ghourchian, 2014, Canadian Conference on AI.

Hierarchical Spatio-Temporal Probabilistic Graphical Model with Multiple Feature Fusion for Binary Facial Attribute Classification in Real-World Face Videos

Doina Precup, Tal Arbel, James J. Clark, 2016, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Temporally Extended Metrics for Markov Decision Processes

Marc G. Bellemare, Doina Precup, Prakash Panangaden, 2019, SafeAI@AAAI.

Attend Before you Act: Leveraging human visual attention for continual learning pdf

Doina Precup, Khimya Khetarpal, 2018, ArXiv.

Bounding Performance Loss in Approximate MDP Homomorphisms

Doina Precup, Prakash Panangaden, Jonathan Taylor, 2008, NIPS.

Shie Mannor, Doina Precup, Jordan Frank, 2010, UbiComp '10 Adjunct.

Assessing the Predictability of Hospital Readmission Using Machine Learning

Doina Precup, Masoumeh T. Izadi, David L. Buckeridge, 2013, IAAI.

Gradient Starvation: A Learning Proclivity in Neural Networks pdf

Doina Precup, Aaron Courville, Mohammad Pezeshki, 2020, ArXiv.

Algorithms for multi-armed bandit problems pdf

Doina Precup, Volodymyr Kuleshov, Doina Precup, 2014, ArXiv.

Context-Driven Predictions

Marc G. Bellemare, Doina Precup, Doina Precup, 2007, IJCAI.

Methods for Computing State Similarity in Markov Decision Processes pdf

Doina Precup, Prakash Panangaden, Pablo Samuel Castro, 2006, UAI.

Hindsight Credit Assignment

Doina Precup, Satinder Singh, Nicolas Heess, 2019, NeurIPS.

Classification of Normal and Hypoxic Fetuses From Systems Modeling of Intrapartum Cardiotocography

Doina Precup, Robert E. Kearney, Philip A. Warrick, 2010, IEEE Transactions on Biomedical Engineering.

Option-critic in cooperative multi-agent systems

Doina Precup, Sumana Basu, Jhelum Chakravorty, 2019, AAMAS.

Adapted MRF Segmentation of Multiple Sclerosis Lesions Using Local Contextual Information

D. Louis Collins, Doina Precup, Tal Arbel, 2011, MIUA.

Doina Precup, Tal Arbel, Rupert Brooks, 2008, Comput. Vis. Image Underst..

Compressed Least-Squares Regression on Sparse Spaces

Joelle Pineau, Doina Precup, Yuri Grinberg, 2012, AAAI.

Improved Estimation in Time Varying Models

Philip Bachman, Doina Precup, Doina Precup, 2012, ICML.

Leveraging Observational Learning for Exploration in Bandits

Audrey Durand, Doina Precup, Andrei Lupu, 2018, AAMAS.

Prediction of Cell Type Specific Transcription Factor Binding Site Occupancy

Mathieu Blanchette, Doina Precup, Faizy Ahsan, 2016, BCB.

The Workshop Program at the Nineteenth National Conference on Artificial Intelligence

Piero P. Bonissone, Matthias Scheutz, Shie Mannor, 2005, AI Mag..

Greedy Confidence Pursuit: A Pragmatic Approach to Multi-bandit Optimization

Philip Bachman, Doina Precup, Doina Precup, 2013, ECML/PKDD.

Using Finite Experiments to Study Asymptotic Performance

Paul R. Cohen, Rudolf Fleischer, Peter Sanders, 2000, Experimental Algorithmics.

Bellman Error Based Feature Generation using Random Projections on Sparse Spaces

Joelle Pineau, Doina Precup, Yuri Grinberg, 2013, NIPS.

Using Options for Knowledge Transfer in Reinforcement Learning

Doina Precup, Theodore J. Perkins, Doina Precup, 1999 .

Doubly Robust Off-Policy Actor-Critic Algorithms for Reinforcement Learning pdf

Doina Precup, Riashat Islam, Raihan Seraj, 2019, ArXiv.

When Waiting is not an Option : Learning Options with a Deliberation Cost

Doina Precup, Pierre-Luc Bacon, Martin Klissarov, 2017, AAAI.

The Multimodal Brain Tumor Image Segmentation Benchmark (BRATS)

Brian B. Avants, D. Louis Collins, Hervé Delingette, 2015, IEEE Transactions on Medical Imaging.

Learning the Difference between Partially Observable Dynamical Systems

François Laviolette, Doina Precup, Josée Desharnais, 2009, ECML/PKDD.

Smart exploration in reinforcement learning using absolute temporal difference errors

Doina Precup, Clement Gehring, Doina Precup, 2013, AAMAS.

Mining Administrative Data to Predict Falls in the Elderly Population

Doina Precup, Masoumeh T. Izadi, David L. Buckeridge, 2012, Canadian Conference on AI.

Activity Recognition with Mobile Phones

Shie Mannor, Doina Precup, Jordan Frank, 2011, ECML/PKDD.

Value-driven Hindsight Modelling pdf

Fabio Viola, Doina Precup, David Silver, 2020, NeurIPS.

Learning Predictive State Representations From Non-Uniform Sampling

Doina Precup, Borja Balle, Hossein Aboutalebi, 2018, AAAI.

Trajectory Simulation and Optimization for a Fuzzy-Controlled Mobile Robot

Doina Precup, Tudor Precup, 1995 .

An Algebraic Approach to Dynamic Epistemic Logic

Doina Precup, Mehrnoosh Sadrzadeh, Prakash Panangaden, 2010, Description Logics.

SVRG for Policy Evaluation with Fewer Gradient Evaluations

Doina Precup, Ahmed Touati, Zilun Peng, 2020, IJCAI.

Keynote Lecture - Building Knowledge For AI AgentsWith Reinforcement Learning

Doina Precup, 2020, ICCP.

An Empirical Study of Batch Normalization and Group Normalization in Conditional Computation pdf

Pascal Vincent, Doina Precup, Chris Pal, 2019, ArXiv.

Revisit Policy Optimization in Matrix Form pdf

Doina Precup, Xiao-Wen Chang, Sitao Luan, 2019, ArXiv.

Learning Safe Policies with Expert Guidance

Yang Cai, Doina Precup, Fa Wu, 2018, NeurIPS.

Approximate Predictive Representations of Partially Observable Systems

Monica Dinculescu, Doina Precup, Doina Precup, 2010, ICML.

Clustering-Oriented Representation Learning with Attractive-Repulsive Loss pdf

Jackie Chi Kit Cheung, Doina Precup, Guillaume Rabusseau, 2018, ArXiv.

Using Hierarchical Mixture of Experts Model for Fusion of Outbreak Detection Methods

Doina Precup, Masoumeh T. Izadi, David L. Buckeridge, 2013, AMIA.

Identification of the Dynamic Relationship Between Intrapartum Uterine Pressure and Fetal Heart Rate for Normal and Hypoxic Fetuses

Doina Precup, Robert E. Kearney, Philip A. Warrick, 2009, IEEE Transactions on Biomedical Engineering.

Automatic basis function construction for approximate dynamic programming and reinforcement learning

Shie Mannor, Doina Precup, Philipp W. Keller, 2006, ICML.

Classification-based Approximate Policy Iteration: Experiments and Extended Discussions pdf

André da Motta Salles Barreto, Doina Precup, Mohammad Ghavamzadeh, 2014, ArXiv.

Learning from Limited Demonstrations

Joelle Pineau, Doina Precup, Beomjoon Kim, 2013, NIPS.

Reinforcement Learning Algorithms in Markov Decision Processes AAAI-10 Tutorial Part II: Learning to predict values

Doina Precup, Richard S. Sutton, Csaba Szepesvári, 2010 .

Smart Classifier Selection for Activity Recognition on Wearable Devices

Doina Precup, Negar Ghourchian, 2013, ICPRAM.

A Matrix Splitting Perspective on Planning with Options pdf

Doina Precup, Pierre-Luc Bacon, Doina Precup, 2016, ArXiv.

Fast gradient-descent methods for temporal-difference learning with linear function approximation

Shalabh Bhatnagar, Doina Precup, Richard S. Sutton, 2009, ICML '09.

Connecting Weighted Automata, Tensor Networks and Recurrent Neural Networks through Spectral Learning pdf

Doina Precup, Tianyu Li, Guillaume Rabusseau, 2020, Machine Learning.

Using core beliefs for point-based value iteration

Doina Precup, Masoumeh T. Izadi, Ajit V. Rajwade, 2005, IJCAI.

Classification Using Φ-Machines and Constructive Function Approximation

Paul E. Utgoff, Doina Precup, Doina Precup, 1998, Machine Learning.

Using Rewards for Belief State Updates in Partially Observable Markov Decision Processes

Doina Precup, Masoumeh T. Izadi, Doina Precup, 2005, ECML.

An Expectation-Maximization Algorithm to Compute a Stochastic Factorization From Data

André da Motta Salles Barreto, Joelle Pineau, Doina Precup, 2015, IJCAI.

Smarter Sampling in Model-Based Bayesian Reinforcement Learning

Doina Precup, Pablo Samuel Castro, Doina Precup, 2010, ECML/PKDD.

Break the Ceiling: Stronger Multi-scale Deep Graph Convolutional Networks

Doina Precup, Xiao-Wen Chang, Mingde Zhao, 2019, NeurIPS.

Value Pursuit Iteration

Doina Precup, Amir Massoud Farahmand, 2012, NIPS.

Off-Policy Deep Reinforcement Learning without Exploration

Doina Precup, David Meger, Scott Fujimoto, 2018, ICML.

Improved Switching among Temporally Abstract Actions". In Advances in Neural Information Processing Systems

Balaraman Ravindran, Doina Precup, Satinder Singh, 1999 .

Policy Iteration Based on Stochastic Factorization

André da Motta Salles Barreto, Joelle Pineau, Doina Precup, 2014, J. Artif. Intell. Res..

Sample-based approximate regularization

Philip Bachman, Doina Precup, Amir-massoud Farahmand, 2014, ICML.

Automatic Construction of Temporally Extended Actions for MDPs Using Bisimulation Metrics

Doina Precup, Pablo Samuel Castro, Doina Precup, 2011, EWRL.

Investigating Recurrence and Eligibility Traces in Deep Q-Networks pdf

Doina Precup, Jean Harb, Doina Precup, 2017, ArXiv.

Learning to Prove from Synthetic Theorems pdf

Laurent Orseau, Doina Precup, Ankit Anand, 2020, ArXiv.

Fast Image Alignment Using Anytime Algorithms

Doina Precup, Tal Arbel, Rupert Brooks, 2007, IJCAI.

An approximation algorithm for labelled Markov processes: towards realistic approximation

Doina Precup, Prakash Panangaden, Alexandre Bouchard-Côté, 2005, Second International Conference on the Quantitative Evaluation of Systems (QEST'05).

An information-theoretic approach to curiosity-driven reinforcement learning

Doina Precup, Susanne Still, Doina Precup, 2012, Theory in Biosciences.

Optimal policy switching algorithms for reinforcement learning

Doina Precup, Gheorghe Comanici, Doina Precup, 2010, AAMAS.

Conditional Computation in Neural Networks for faster models pdf

Joelle Pineau, Doina Precup, Pierre-Luc Bacon, 2015, ArXiv.

Algorithms for multi-armed bandit problems

Leslie Pack Kaelbling, Doina Precup, Volodymyr Kuleshov, 2014, ArXiv.

OptionGAN: Learning Joint Reward-Policy Options using Generative Adversarial Inverse Reinforcement Learning

Joelle Pineau, Peter Henderson, Doina Precup, 2017, AAAI.

Ubenwa: Cry-based Diagnosis of Birth Asphyxia pdf

Doina Precup, Charles C. Onu, Innocent Udeogu, 2017, ArXiv.

On Efficiency in Hierarchical Reinforcement Learning

Doina Precup, Satinder Singh, Benjamin Van Roy, 2020, NeurIPS.

World Knowledge for Reading Comprehension: Rare Entity Prediction with Hierarchical LSTMs Using External Descriptions

Jackie Chi Kit Cheung, Doina Precup, Teng Long, 2017, EMNLP.

Hierarchical temporal graphical model for head pose estimation and subsequent attribute classification in real-world videos

Doina Precup, Tal Arbel, James J. Clark, 2015, Comput. Vis. Image Underst..

The Duality of State and Observation in Probabilistic Transition Systems

Joelle Pineau, Monica Dinculescu, Doina Precup, 2011, TbiLLC.

Constructing Temporal Abstractions Autonomously in Reinforcement Learning

Doina Precup, Pierre-Luc Bacon, Doina Precup, 2018, AI Mag..

Diversity-Enriched Option-Critic pdf

Doina Precup, Anand Kamat, Doina Precup, 2020, ArXiv.

The Termination Critic

Doina Precup, Rémi Munos, Nicolas Heess, 2019, AISTATS.

Apprentissage actif dans les processus décisionnels de Markov partiellement observables L'algorithme MEDUSA

Joelle Pineau, Doina Precup, Robin Jaulmes, 2007, Rev. d'Intelligence Artif..

Point-Based Planning for Predictive State Representations

Doina Precup, Masoumeh T. Izadi, 2008, Canadian Conference on AI.

Combining TD-learning with Cascade-correlation Networks

Doina Precup, François Rivest, Doina Precup, 2003, ICML.

Policy Gradients Incorporating the Future pdf

Doina Precup, Ofir Nachum, David Venuto, 2021, ICLR.

The Paradox of Choice: Using Attention in Hierarchical Reinforcement Learning

Doina Precup, Khimya Khetarpal, Andrei Nica, 2022, ArXiv.

Improving Long-Term Metrics in Recommendation Systems using Short-Horizon Offline RL pdf

Paul Mineiro, Doina Precup, Adith Swaminathan, 2021, ArXiv.

A Survey of Exploration Methods in Reinforcement Learning pdf

Doina Precup, Herke van Hoof, Maziar Gomrokchi, 2021, ArXiv.

On the Expressivity of Markov Reward pdf

Doina Precup, Michael L. Littman, Mark K. Ho, 2021, NeurIPS.

Reward is enough

Doina Precup, David Silver, Satinder Singh, 2021, Artif. Intell..

A Deep Reinforcement Learning Approach to Marginalized Importance Sampling with the Successor Representation pdf

Doina Precup, David Meger, Scott Fujimoto, 2021, ICML.

Proving Theorems using Incremental Learning and Hindsight Experience Replay pdf

Laurent Orseau, Doina Precup, Eser Aygun, 2021, ArXiv.

AndroidEnv: A Reinforcement Learning Platform for Android pdf

Doina Precup, Gheorghe Comanici, Philippe Hamel, 2021, ArXiv.

Single-Shot Pruning for Offline Reinforcement Learning pdf

Sergey Plis, Doina Precup, Riyasat Ohib, 2021, ArXiv.

Preferential Temporal Difference Learning pdf

Doina Precup, Nishanth Anand, Doina Precup, 2021, ICML.

Training a First-Order Theorem Prover from Synthetic Data pdf

Laurent Orseau, Doina Precup, Lei Zhang, 2021, ArXiv.

Flow Network based Generative Models for Non-Iterative Diverse Candidate Generation pdf

Doina Precup, Yoshua Bengio, Emmanuel Bengio, 2021, NeurIPS.

What is Going on Inside Recurrent Meta Reinforcement Learning Agents? pdf

Doina Precup, Safa Alver, Doina Precup, 2021, ArXiv.

Variance Penalized On-Policy and Off-Policy Actor-Critic

Doina Precup, Arushi Jain, Khimya Khetarpal, 2021, AAAI.

Temporally Abstract Partial Models pdf

Doina Precup, Khimya Khetarpal, Gheorghe Comanici, 2021, NeurIPS.

A Consciousness-Inspired Planning Agent for Model-Based Reinforcement Learning pdf

Doina Precup, Yoshua Bengio, Sitao Luan, 2021, NeurIPS.

Self-Supervised Attention-Aware Reinforcement Learning

Doina Precup, Khimya Khetarpal, Haiping Wu, 2021, AAAI.

Flexible Option Learning pdf

Doina Precup, Martin Klissarov, Doina Precup, 2021, NeurIPS.

Randomized Exploration for Reinforcement Learning with General Value Function Approximation pdf

Doina Precup, Zhuoran Yang, Haque Ishfaq, 2021, ArXiv.

Importance of Empirical Sample Complexity Analysis for Offline Reinforcement Learning pdf

Doina Precup, Riashat Islam, Samin Yeasar Arnob, 2021, ArXiv.

Locally Persistent Exploration in Continuous Control Tasks with Sparse Rewards pdf

Doina Precup, Hossein Aboutalebi, Maziar Gomrokchi, 2021, ICML.

Is Heterophily A Real Nightmare For Graph Neural Networks To Do Node Classification? pdf

Doina Precup, Sitao Luan, Chenqing Hua, 2021, ArXiv.

Constructing a Good Behavior Basis for Transfer using Generalized Policy Updates pdf

Doina Precup, Safa Alver, 2021, ArXiv.

Where Did You Learn That From? Surprising Effectiveness of Membership Inference Attacks Against Temporally Correlated Data in Deep Reinforcement Learning pdf

Doina Precup, Hossein Aboutalebi, Maziar Gomrokchi, 2021, ArXiv.

Temporal Abstraction in Reinforcement Learning with the Successor Representation pdf

Marlos C. Machado, Doina Precup, Andre Barreto, 2021, ArXiv.

Correcting Momentum in Temporal Difference Learning pdf

Joelle Pineau, Doina Precup, Emmanuel Bengio, 2021, ArXiv.

Optimal Spectral-Norm Approximate Minimization of Weighted Finite Automata pdf

Doina Precup, Prakash Panangaden, Borja Balle, 2021, ICALP.

Improving Long-Term Metrics in Recommendation Systems using Short-Horizon Reinforcement Learning

Paul Mineiro, Doina Precup, Adith Swaminathan, 2021, 2106.00589.

Value-driven Hindsight Modelling pdf

Doina Precup, David Silver, Nicolas Heess, 2020, NeurIPS.

Pooled Screening for Synergistic Interactions Subject to Blocking and Noise

Doina Precup, Theodore J. Perkins, Kyle Li, 2014, PloS one.

Complete the Missing Half: Augmenting Aggregation Filtering with Diversification for Graph Convolutional Networks pdf

Doina Precup, Xiao-Wen Chang, Mingde Zhao, 2020, ArXiv.

An Equivalence between Loss Functions and Non-Uniform Sampling in Experience Replay pdf

Doina Precup, David Meger, Scott Fujimoto, 2020, NeurIPS.

Learning Algorithms for Automata with Observations

Joelle Pineau, Doina Precup, Prakash Panangaden, 2007 .