| 2024 | ICLR | Piecewise Linear Parametrization of Policies: Towards Interpretable Deep Reinforcement Learning. | Maxime Wabartha, Joelle Pineau |
| 2024 | ICML | Position: On the Societal Impact of Open Foundation Models. | Sayash Kapoor, Rishi Bommasani, Kevin Klyman, Shayne Longpre, Ashwin Ramaswami, Peter Cihon, Aspen K. Hopkins, Kevin Bankston, Stella Biderman, Miranda Bogen, Rumman Chowdhury, Alex Engler, Peter Henderson, Yacine Jernite, Seth Lazar, Stefano Maffulli, Alondra Nelson, Joelle Pineau, Aviya Skowron, Dawn Song, Victor Storchan, Daniel Zhang, Daniel E. Ho, Percy Liang, Arvind Narayanan |
| 2022 | AAAI | A Generalized Bootstrap Target for Value-Learning, Efficiently Combining Value and Feature Predictions. | Anthony GX-Chen, Veronica Chelu, Blake A. Richards, Joelle Pineau |
| 2022 | EMNLP | Improving Passage Retrieval with Zero-Shot Question Generation. | Devendra Singh Sachan, Mike Lewis, Mandar Joshi, Armen Aghajanyan, Wen-tau Yih, Joelle Pineau, Luke Zettlemoyer |
| 2022 | EMNLP | The Curious Case of Absolute Position Embeddings. | Koustuv Sinha, Amirhossein Kazemnejad, Siva Reddy, Joelle Pineau, Dieuwke Hupkes, Adina Williams |
| 2022 | ICLR | New Insights on Reducing Abrupt Representation Change in Online Continual Learning. | Lucas Caccia, Rahaf Aljundi, Nader Asadi, Tinne Tuytelaars, Joelle Pineau, Eugene Belilovsky |
| 2022 | ICML | Robust Policy Learning over Multiple Uncertainty Sets. | Annie Xie, Shagun Sodhani, Chelsea Finn, Joelle Pineau, Amy Zhang |
| 2021 | AAAI | Improving Sample Efficiency in Model-Free Reinforcement Learning from Images. | Denis Yarats, Amy Zhang, Ilya Kostrikov, Brandon Amos, Joelle Pineau, Rob Fergus |
| 2021 | ACL | UnNatural Language Inference. | Koustuv Sinha, Prasanna Parthasarathi, Joelle Pineau, Adina Williams |
| 2021 | EACL | Exploring the Limits of Few-Shot Link Prediction in Knowledge Graphs. | Dora Jambor, Komal K. Teru, Joelle Pineau, William L. Hamilton |
| 2021 | EMNLP | Sometimes We Want Ungrammatical Translations. | Prasanna Parthasarathi, Koustuv Sinha, Joelle Pineau, Adina Williams |
| 2021 | EMNLP | Masked Language Modeling and the Distributional Hypothesis: Order Word Matters Pre-training for Little. | Koustuv Sinha, Robin Jia, Dieuwke Hupkes, Joelle Pineau, Adina Williams, Douwe Kiela |
| 2021 | ICLR | Learning Robust State Abstractions for Hidden-Parameter Block MDPs. | Amy Zhang, Shagun Sodhani, Khimya Khetarpal, Joelle Pineau |
| 2021 | ICLR | Regularized Inverse Reinforcement Learning. | Wonseok Jeon, Chen-Yang Su, Paul Barde, Thang Doan, Derek Nowrouzezahrai, Joelle Pineau |
| 2021 | ICML | OptiDICE: Offline Policy Optimization via Stationary Distribution Correction Estimation. | Jongmin Lee, Wonseok Jeon, Byung-Jun Lee, Joelle Pineau, Kee-Eung Kim |
| 2021 | ICML | Multi-Task Reinforcement Learning with Context-based Representations. | Shagun Sodhani, Amy Zhang, Joelle Pineau |
| 2021 | SIGdial | A Brief Study on the Effects of Training Generative Dialogue Models with a Semantic loss. | Prasanna Parthasarathi, Mohamed A. Abdelsalam, Sarath Chandar, Joelle Pineau |
| 2021 | SIGdial | Do Encoder Representations of Generative Dialogue Models have sufficient summary of the Information about the task ? | Prasanna Parthasarathi, Joelle Pineau, Sarath Chandar |
| 2020 | AAAI | Exploiting Spatial Invariance for Scalable Unsupervised Object Tracking. | Eric Crawford, Joelle Pineau |
| 2020 | AAAI | Literature Mining for Incorporating Inductive Bias in Biomedical Prediction Tasks (Student Abstract). | Qizhen Zhang, Audrey Durand, Joelle Pineau |
| 2020 | ACL | Learning an Unreferenced Metric for Online Dialogue Evaluation. | Koustuv Sinha, Prasanna Parthasarathi, Jasmine Wang, Ryan Lowe, William L. Hamilton, Joelle Pineau |
| 2020 | AIED | Automated Personalized Feedback Improves Learning Gains in An Intelligent Tutoring System. | Ekaterina Kochmar, Dung Do Vu, Robert Belfer, Varun Gupta, Iulian Vlad Serban, Joelle Pineau |
| 2020 | AIED | A Large-Scale, Open-Domain, Mixed-Interface Dialogue-Based ITS for STEM. | Iulian Vlad Serban, Varun Gupta, Ekaterina Kochmar, Dung Do Vu, Robert Belfer, Joelle Pineau, Aaron C. Courville, Laurent Charlin, Yoshua Bengio |
| 2020 | ICLR | Language GANs Falling Short. | Massimo Caccia, Lucas Caccia, William Fedus, Hugo Larochelle, Joelle Pineau, Laurent Charlin |
| 2020 | ICLR | On the interaction between supervision and self-play in emergent communication. | Ryan Lowe, Abhinav Gupta, Jakob N. Foerster, Douwe Kiela, Joelle Pineau |
| 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 | Online Learned Continual Compression with Adaptive Quantization Modules. | Lucas Caccia, Eugene Belilovsky, Massimo Caccia, Joelle Pineau |
| 2020 | ICML | Constrained Markov Decision Processes via Backward Value Functions. | Harsh Satija, Philip Amortila, Joelle Pineau |
| 2020 | IJCAI | On Overfitting and Asymptotic Bias in Batch Reinforcement Learning with Partial Observability (Extended Abstract). | Vincent Franois-Lavet, Guillaume Rabusseau, Joelle Pineau, Damien Ernst, Raphael Fonteneau |
| 2020 | IJCAI | Handling Black Swan Events in Deep Learning with Diversely Extrapolated Neural Networks. | Maxime Wabartha, Audrey Durand, Vincent Franois-Lavet, Joelle Pineau |
| 2020 | UAI | Stable Policy Optimization via Off-Policy Divergence Regularization. | Ahmed Touati, Amy Zhang, Joelle Pineau, Pascal Vincent |
| 2019 | AAAI | Spatially Invariant Unsupervised Object Detection with Convolutional Neural Networks. | Eric Crawford, Joelle Pineau |
| 2019 | AAAI | On-Line Adaptative Curriculum Learning for GANs. | Thang Doan, Joo Monteiro, Isabela Albuquerque, Bogdan Mazoure, Audrey Durand, Joelle Pineau, R. Devon Hjelm |
| 2019 | AAAI | Combined Reinforcement Learning via Abstract Representations. | Vincent Franois-Lavet, Yoshua Bengio, Doina Precup, Joelle Pineau |
| 2019 | AISTATS | Multitask Metric Learning: Theory and Algorithm. | Boyu Wang, Hejia Zhang, Peng Liu, Zebang Shen, Joelle Pineau |
| 2019 | CoRL | Leveraging exploration in off-policy algorithms via normalizing flows. | Bogdan Mazoure, Thang Doan, Audrey Durand, Joelle Pineau, R. Devon Hjelm |
| 2019 | EMNLP | Seeded self-play for language learning. | Abhinav Gupta, Ryan Lowe, Jakob N. Foerster, Douwe Kiela, Joelle Pineau |
| 2019 | EMNLP | CLUTRR: A Diagnostic Benchmark for Inductive Reasoning from Text. | Koustuv Sinha, Shagun Sodhani, Jin Dong, Joelle Pineau, William L. Hamilton |
| 2019 | ICML | TarMAC: Targeted Multi-Agent Communication. | Abhishek Das, Thophile Gervet, Joshua Romoff, Dhruv Batra, Devi Parikh, Mike Rabbat, Joelle Pineau |
| 2019 | ICML | Separable value functions across time-scales. | Joshua Romoff, Peter Henderson, Ahmed Touati, Yann Ollivier, Joelle Pineau, Emma Brunskill |
| 2019 | IROS | Deep Generative Modeling of LiDAR Data. | Lucas Caccia, Herke van Hoof, Aaron C. Courville, Joelle Pineau |
| 2019 | UAI | Randomized Value Functions via Multiplicative Normalizing Flows. | Ahmed Touati, Harsh Satija, Joshua Romoff, Joelle Pineau, Pascal Vincent |
| 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 | AIES | Ethical Challenges in Data-Driven Dialogue Systems. | Peter Henderson, Koustuv Sinha, Nicolas Angelard-Gontier, Nan Rosemary Ke, Genevieve Fried, Ryan Lowe, Joelle Pineau |
| 2018 | CoRL | Reward Estimation for Variance Reduction in Deep Reinforcement Learning. | Joshua Romoff, Peter Henderson, Alexandre Pich, Vincent Franois-Lavet, Joelle Pineau |
| 2018 | EMNLP | Extending Neural Generative Conversational Model using External Knowledge Sources. | Prasanna Parthasarathi, Joelle Pineau |
| 2018 | ICLR | Reward Estimation for Variance Reduction in Deep Reinforcement Learning. | Joshua Romoff, Alexandre Pich, Peter Henderson, Vincent Franois-Lavet, Joelle Pineau |
| 2018 | ICLR | Decoupling Dynamics and Reward for Transfer Learning. | Amy Zhang, Harsh Satija, Joelle Pineau |
| 2018 | ICML | Focused Hierarchical RNNs for Conditional Sequence Processing. | Nan Rosemary Ke, Konrad Zolna, Alessandro Sordoni, Zhouhan Lin, Adam Trischler, Yoshua Bengio, Joelle Pineau, Laurent Charlin, Christopher J. Pal |
| 2018 | ICML | An Inference-Based Policy Gradient Method for Learning Options. | Matthew J. A. Smith, Herke van Hoof, Joelle Pineau |
| 2017 | AAAI | A Hierarchical Latent Variable Encoder-Decoder Model for Generating Dialogues. | Iulian Vlad Serban, Alessandro Sordoni, Ryan Lowe, Laurent Charlin, Joelle Pineau, Aaron C. Courville, Yoshua Bengio |
| 2017 | ACL | Towards an Automatic Turing Test: Learning to Evaluate Dialogue Responses. | Ryan Lowe, Michael Noseworthy, Iulian Vlad Serban, Nicolas Angelard-Gontier, Yoshua Bengio, Joelle Pineau |
| 2017 | AI | A Sparse Probabilistic Model of User Preference Data. | Matthew Smith, Laurent Charlin, Joelle Pineau |
| 2017 | EMNLP | Piecewise Latent Variables for Neural Variational Text Processing. | Iulian Vlad Serban, Alexander G. Ororbia II, Joelle Pineau, Aaron C. Courville |
| 2017 | EMNLP | Piecewise Latent Variables for Neural Variational Text Processing. | Iulian Vlad Serban, Alexander Ororbia, Joelle Pineau, Aaron C. Courville |
| 2017 | ICLR | An Actor-Critic Algorithm for Sequence Prediction. | Dzmitry Bahdanau, Philemon Brakel, Kelvin Xu, Anirudh Goyal, Ryan Lowe, Joelle Pineau, Aaron C. Courville, Yoshua Bengio |
| 2017 | ICLR | Towards an automatic Turing test: Learning to evaluate dialogue responses. | Ryan Lowe, Michael Noseworthy, Iulian Vlad Serban, Nicolas Angelard-Gontier, Yoshua Bengio, Joelle Pineau |
| 2017 | SIGdial | Predicting Success in Goal-Driven Human-Human Dialogues. | Michael Noseworthy, Jackie Chi Kit Cheung, Joelle Pineau |
| 2017 | SIGdial | MACA: A Modular Architecture for Conversational Agents. | Hoai Phuoc Truong, Prasanna Parthasarathi, Joelle Pineau |
| 2016 | AAAI | Incremental Stochastic Factorization for Online Reinforcement Learning. | Andr da Motta Salles Barreto, Rafael L. Beirigo, Joelle Pineau, Doina Precup |
| 2016 | AAAI | Building End-To-End Dialogue Systems Using Generative Hierarchical Neural Network Models. | Iulian Vlad Serban, Alessandro Sordoni, Yoshua Bengio, Aaron C. Courville, Joelle Pineau |
| 2016 | AAAI | Multitask Generalized Eigenvalue Program. | Boyu Wang, Joelle Pineau, Borja Balle |
| 2016 | EMNLP | How NOT To Evaluate Your Dialogue System: An Empirical Study of Unsupervised Evaluation Metrics for Dialogue Response Generation. | Chia-Wei Liu, Ryan Lowe, Iulian Serban, Michael Noseworthy, Laurent Charlin, Joelle Pineau |
| 2016 | IJCAI | Generalized Dictionary for Multitask Learning with Boosting. | Boyu Wang, Joelle Pineau |
| 2016 | ICRA | Learning time series models for pedestrian motion prediction. | Chenghui Zhou, Borja Balle, Joelle Pineau |
| 2016 | SIGdial | On the Evaluation of Dialogue Systems with Next Utterance Classification. | Ryan Lowe, Iulian Vlad Serban, Michael Noseworthy, Laurent Charlin, Joelle Pineau |
| 2015 | AAAI | Information Gathering and Reward Exploitation of Subgoals for POMDPs. | Hang Ma, Joelle Pineau |
| 2015 | AAAI | Online Boosting Algorithms for Anytime Transfer and Multitask Learning. | Boyu Wang, Joelle Pineau |
| 2015 | ICML | Analyzing Open Data from the City of Montreal. | Joelle Pineau, Pierre-Luc Bacon |
| 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 | ICRA | Person tracking and following with 2D laser scanners. | Angus Leigh, Joelle Pineau, Nicolas A. Olmedo, Hong Zhang |
| 2015 | IROS | Automatically characterizing driving activities onboard smart wheelchairs from accelerometer data. | HiuKim Yuen, Joelle Pineau, Philippe S. Archambault |
| 2015 | SIGdial | The Ubuntu Dialogue Corpus: A Large Dataset for Research in Unstructured Multi-Turn Dialogue Systems. | Ryan Lowe, Nissan Pow, Iulian Serban, Joelle Pineau |
| 2014 | ICML | Methods of Moments for Learning Stochastic Languages: Unified Presentation and Empirical Comparison. | Borja Balle, William L. Hamilton, Joelle Pineau |
| 2013 | AAAI | Mixed Observability Predictive State Representations. | Sylvie C. W. Ong, Yuri Grinberg, Joelle Pineau |
| 2013 | ICML | Modelling Sparse Dynamical Systems with Compressed Predictive State Representations. | William L. Hamilton, Mahdi Milani Fard, Joelle Pineau |
| 2012 | AAAI | Compressed Least-Squares Regression on Sparse Spaces. | Mahdi Milani Fard, Yuri Grinberg, Joelle Pineau, Doina Precup |
| 2011 | ICASSP | Bayesian reinforcement learning for POMDP-based dialogue systems. | ShaoWei Png, Joelle Pineau |
| 2011 | UAI | Active Learning for Developing Personalized Treatment. | Kun Deng, Joelle Pineau, Susan A. Murphy |
| 2011 | UAI | PAC-Bayesian Policy Evaluation for Reinforcement Learning. | Mahdi Milani Fard, Joelle Pineau, Csaba Szepesvri |
| 2010 | CIKM | Automatically suggesting topics for augmenting text documents. | Robert West, Doina Precup, Joelle Pineau |
| 2010 | ICRA | Multi-tasking SLAM. | Arthur Guez, Joelle Pineau |
| 2010 | ICRA | Variable resolution decomposition for robotic navigation under a POMDP framework. | Robert Kaplow, Amin Atrash, Joelle Pineau |
| 2009 | CIKM | Completing wikipedia's hyperlink structure through dimensionality reduction. | Robert West, Doina Precup, Joelle Pineau |
| 2009 | IJCAI | Wikispeedia: An Online Game for Inferring Semantic Distances between Concepts. | Robert West, Joelle Pineau, Doina Precup |
| 2009 | IUI | A bayesian reinforcement learning approach for customizing human-robot interfaces. | Amin Atrash, Joelle Pineau |
| 2008 | AAAI | A Variance Analysis for POMDP Policy Evaluation. | Mahdi Milani Fard, Joelle Pineau, Peng Sun |
| 2008 | AAAI | Adaptive Treatment of Epilepsy via Batch-mode Reinforcement Learning. | Arthur Guez, Robert D. Vincent, Massimo Avoli, Joelle Pineau |
| 2008 | ICML | Reinforcement learning with limited reinforcement: using Bayes risk for active learning in POMDPs. | Finale Doshi, Joelle Pineau, Nicholas Roy |
| 2008 | ICRA | Bayesian reinforcement learning in continuous POMDPs with application to robot navigation. | Stphane Ross, Brahim Chaib-draa, Joelle Pineau |
| 2008 | ISAIM | Reinforcement Learning with Limited Reinforcement: Using Bayes Risk for Active Learning in POMDPs. | Finale Doshi, Joelle Pineau, Nicholas Roy |
| 2008 | ISAIM | Bayes-Adaptive POMDPs: A New Perspective on the Explore-Exploit Tradeoff in Partially Observable Domains. | Joelle Pineau, Stphane Ross, Brahim Chaib-draa |
| 2008 | UAI | Model-Based Bayesian Reinforcement Learning in Large Structured Domains. | Stphane Ross, Joelle Pineau |
| 2007 | AI | Recurrent Boosting for Classification of Natural and Synthetic Time-Series Data. | Robert D. Vincent, Joelle Pineau, Philip de Guzman, Massimo Avoli |
| 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 |
| 2005 | ISRR | POMDP Planning for Robust Robot Control. | Joelle Pineau, Geoffrey J. Gordon |
| 2003 | IJCAI | Point-based value iteration: An anytime algorithm for POMDPs. | Joelle Pineau, Geoffrey J. Gordon, Sebastian Thrun |
| 2003 | UAI | Policy-contingent abstraction for robust robot control. | Joelle Pineau, Geoffrey J. Gordon, Sebastian Thrun |
| 2002 | AAAI | Experiences with a Mobile Robotic Guide for the Elderly. | Michael Montemerlo, Joelle Pineau, Nicholas Roy, Sebastian Thrun, Vandi Verma |
| 2002 | AMIA | Robotic Assistance During Ambulation by Older Adults. | Judith T. Matthews, Sandra Engberg, Michael Montemerlo, Joelle Pineau, Nicholas Roy, Joan Rogers, Sebastian Thrun |
| 2000 | ACL | Spoken Dialogue Management Using Probabilistic Reasoning. | Nicholas Roy, Joelle Pineau, Sebastian Thrun |
| 2000 | ICASSP | Fast reinforcement learning of dialog strategies. | David Goddeau, Joelle Pineau |