Joelle Pineau - RankMe

317 papers A* 66A 15B 2C 2Misc 7Journal 162Unranked 62

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Tiny Aya: Bridging Scale and Multilingual Depth. CoRR Alejandro Salamanca, Diana Abagyan, Daniel D'souza, Ammar Khairi, David Mora, Saurabh Dash, Viraat Aryabumi, Sara Rajaee, Mehrnaz Mofakhami, Ananya Sahu, Thomas Euyang, Brittawnya Prince, Madeline Smith, Hangyu Lin, Acyr Locatelli, Sara Hooker, Tom Kocmi, Aidan N. Gomez, Ivan Zhang, Phil Blunsom, Nick Frosst, Joelle Pineau, Beyza Ermis, Ahmet Üstün, Julia Kreutzer, Marzieh Fadaee
2025	J	`jnl`	Advancing Science- and Evidence-based AI Policy. CoRR Rishi Bommasani, Sanjeev Arora, Jennifer T. Chayes, Yejin Choi, Mariano-Florentino Cuellar, Li Fei-Fei, Daniel E. Ho, Dan Jurafsky, Sanmi Koyejo, Hima Lakkaraju, Arvind Narayanan, Alondra Nelson, Emma Pierson, Joelle Pineau, Scott R. Singer, Gaël Varoquaux, Suresh Venkatasubramanian, Ion Stoica, Percy Liang, Dawn Song
2025	J	`jnl`	Safe Domain Randomization via Uncertainty-Aware Out-of-Distribution Detection and Policy Adaptation. CoRR Mohamad H. Danesh, Maxime Wabartha, Stanley Wu, Joelle Pineau, Hsiu-Chin Lin
2024	J	`jnl`	On the Societal Impact of Open Foundation Models. CoRR 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
2024	A*	`conf`	Piecewise Linear Parametrization of Policies: Towards Interpretable Deep Reinforcement Learning. ICLR Maxime Wabartha, Joelle Pineau
2024	A*	`conf`	Position: On the Societal Impact of Open Foundation Models. ICML 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
2024	—	`conf`	Rethinking Machine Learning Benchmarks in the Context of Professional Codes of Conduct. CSLAW Peter Henderson, Jieru Hu, Mona T. Diab, Joelle Pineau
2023	J	`jnl`	Estimating causal effects with optimization-based methods: A review and empirical comparison. Eur. J. Oper. Res. Martin Cousineau, Vedat Verter, Susan A. Murphy, Joelle Pineau
2023	J	`jnl`	Group Fairness in Reinforcement Learning. Trans. Mach. Learn. Res. Harsh Satija, Alessandro Lazaric, Matteo Pirotta, Joelle Pineau
2023	J	`jnl`	Publisher Correction: Advancing ethics review practices in AI research. Nat. Mac. Intell. Madhulika Srikumar, Rebecca Finlay, Grace Abuhamad, Carolyn Ashurst, Rosie Campbell, Emily Campbell-Ratcliffe, Hudson Hongo, Sara R. Jordan, Joseph Lindley, Aviv Ovadya, Joelle Pineau
2023	J	`jnl`	Questions Are All You Need to Train a Dense Passage Retriever. Trans. Assoc. Comput. Linguistics Devendra Singh Sachan, Mike Lewis, Dani Yogatama, Luke Zettlemoyer, Joelle Pineau, Manzil Zaheer
2022	A*	`conf`	A Generalized Bootstrap Target for Value-Learning, Efficiently Combining Value and Feature Predictions. AAAI Anthony GX-Chen, Veronica Chelu, Blake A. Richards, Joelle Pineau
2022	J	`jnl`	A Generalized Bootstrap Target for Value-Learning, Efficiently Combining Value and Feature Predictions. CoRR Anthony GX-Chen, Veronica Chelu, Blake A. Richards, Joelle Pineau
2022	J	`jnl`	Advancing ethics review practices in AI research. Nat. Mac. Intell. Madhulika Srikumar, Rebecca Finlay, Grace Abuhamad, Carolyn Ashurst, Rosie Campbell, Emily Campbell-Ratcliffe, Hudson Hongo, Sara R. Jordan, Joseph Lindley, Aviv Ovadya, Joelle Pineau
2022	J	`jnl`	Automated Data-Driven Generation of Personalized Pedagogical Interventions in Intelligent Tutoring Systems. Int. J. Artif. Intell. Educ. Ekaterina Kochmar, Dung Do Vu, Robert Belfer, Varun Gupta, Iulian Vlad Serban, Joelle Pineau
2022	—	`conf`	Block Contextual MDPs for Continual Learning. L4DC Shagun Sodhani, Franziska Meier, Joelle Pineau, Amy Zhang
2022	J	`jnl`	Efficient Continual Learning Ensembles in Neural Network Subspaces. CoRR Thang Doan, Seyed-Iman Mirzadeh, Joelle Pineau, Mehrdad Farajtabar
2022	J	`jnl`	Estimating causal effects with optimization-based methods: A review and empirical comparison. CoRR Martin Cousineau, Vedat Verter, Susan A. Murphy, Joelle Pineau
2022	A*	`conf`	Improving Passage Retrieval with Zero-Shot Question Generation. EMNLP Devendra Singh Sachan, Mike Lewis, Mandar Joshi, Armen Aghajanyan, Wen-tau Yih, Joelle Pineau, Luke Zettlemoyer
2022	J	`jnl`	Improving Passage Retrieval with Zero-Shot Question Generation. CoRR Devendra Singh Sachan, Mike Lewis, Mandar Joshi, Armen Aghajanyan, Wen-tau Yih, Joelle Pineau, Luke Zettlemoyer
2022	J	`jnl`	Low-Rank Representation of Reinforcement Learning Policies. J. Artif. Intell. Res. Bogdan Mazoure, Thang Doan, Tianyu Li, Vladimir Makarenkov, Joelle Pineau, Doina Precup, Guillaume Rabusseau
2022	A*	`conf`	New Insights on Reducing Abrupt Representation Change in Online Continual Learning. ICLR Lucas Caccia, Rahaf Aljundi, Nader Asadi, Tinne Tuytelaars, Joelle Pineau, Eugene Belilovsky
2022	J	`jnl`	Questions Are All You Need to Train a Dense Passage Retriever. CoRR Devendra Singh Sachan, Mike Lewis, Dani Yogatama, Luke Zettlemoyer, Joelle Pineau, Manzil Zaheer
2022	A*	`conf`	Robust Policy Learning over Multiple Uncertainty Sets. ICML Annie Xie, Shagun Sodhani, Chelsea Finn, Joelle Pineau, Amy Zhang
2022	J	`jnl`	Robust Policy Learning over Multiple Uncertainty Sets. CoRR Annie Xie, Shagun Sodhani, Chelsea Finn, Joelle Pineau, Amy Zhang
2022	—	`conf`	The Curious Case of Absolute Position Embeddings. EMNLP (Findings) Koustuv Sinha, Amirhossein Kazemnejad, Siva Reddy, Joelle Pineau, Dieuwke Hupkes, Adina Williams
2022	J	`jnl`	The Curious Case of Absolute Position Embeddings. CoRR Koustuv Sinha, Amirhossein Kazemnejad, Siva Reddy, Joelle Pineau, Dieuwke Hupkes, Adina Williams
2021	B	`conf`	A Brief Study on the Effects of Training Generative Dialogue Models with a Semantic loss. SIGDIAL Prasanna Parthasarathi, Mohamed A. Abdelsalam, Sarath Chandar, Joelle Pineau
2021	J	`jnl`	A Brief Study on the Effects of Training Generative Dialogue Models with a Semantic loss. CoRR Prasanna Parthasarathi, Mohamed A. Abdelsalam, Joelle Pineau, Sarath Chandar
2021	J	`jnl`	Block Contextual MDPs for Continual Learning. CoRR Shagun Sodhani, Franziska Meier, Joelle Pineau, Amy Zhang
2021	J	`jnl`	COVID-19 Prognosis via Self-Supervised Representation Learning and Multi-Image Prediction. CoRR Anuroop Sriram, Matthew J. Muckley, Koustuv Sinha, Farah Shamout, Joelle Pineau, Krzysztof J. Geras, Lea Azour, Yindalon Aphinyanaphongs, Nafissa Yakubova, William Moore
2021	J	`jnl`	Correcting Momentum in Temporal Difference Learning. CoRR Emmanuel Bengio, Joelle Pineau, Doina Precup
2021	—	`ch.`	Democratising the Digital Revolution: The Role of Data Governance. Reflections on Artificial Intelligence for Humanity Sylvie Delacroix, Joelle Pineau, Jessica Montgomery
2021	J	`jnl`	Do Encoder Representations of Generative Dialogue Models Encode Sufficient Information about the Task ? CoRR Prasanna Parthasarathi, Joelle Pineau, Sarath Chandar
2021	B	`conf`	Do Encoder Representations of Generative Dialogue Models have sufficient summary of the Information about the task ? SIGDIAL Prasanna Parthasarathi, Joelle Pineau, Sarath Chandar
2021	J	`jnl`	Domain Adversarial Reinforcement Learning. CoRR Bonnie Li, Vincent François-Lavet, Thang Doan, Joelle Pineau
2021	A	`conf`	Exploring the Limits of Few-Shot Link Prediction in Knowledge Graphs. EACL Dora Jambor, Komal K. Teru, Joelle Pineau, William L. Hamilton
2021	J	`jnl`	Exploring the Limits of Few-Shot Link Prediction in Knowledge Graphs. CoRR Dora Jambor, Komal K. Teru, Joelle Pineau, William L. Hamilton
2021	J	`jnl`	Improving Reproducibility in Machine Learning Research(A Report from the NeurIPS 2019 Reproducibility Program). J. Mach. Learn. Res. Joelle Pineau, Philippe Vincent-Lamarre, Koustuv Sinha, Vincent Larivière, Alina Beygelzimer, Florence d'Alché-Buc, Emily B. Fox, Hugo Larochelle
2021	A*	`conf`	Improving Sample Efficiency in Model-Free Reinforcement Learning from Images. AAAI Denis Yarats, Amy Zhang, Ilya Kostrikov, Brandon Amos, Joelle Pineau, Rob Fergus
2021	A*	`conf`	Learning Robust State Abstractions for Hidden-Parameter Block MDPs. ICLR Amy Zhang, Shagun Sodhani, Khimya Khetarpal, Joelle Pineau
2021	—	`conf`	Masked Language Modeling and the Distributional Hypothesis: Order Word Matters Pre-training for Little. EMNLP (1) Koustuv Sinha, Robin Jia, Dieuwke Hupkes, Joelle Pineau, Adina Williams, Douwe Kiela
2021	J	`jnl`	Masked Language Modeling and the Distributional Hypothesis: Order Word Matters Pre-training for Little. CoRR Koustuv Sinha, Robin Jia, Dieuwke Hupkes, Joelle Pineau, Adina Williams, Douwe Kiela
2021	J	`jnl`	Model-Invariant State Abstractions for Model-Based Reinforcement Learning. CoRR Manan Tomar, Amy Zhang, Roberto Calandra, Matthew E. Taylor, Joelle Pineau
2021	A*	`conf`	Multi-Objective SPIBB: Seldonian Offline Policy Improvement with Safety Constraints in Finite MDPs. NeurIPS Harsh Satija, Philip S. Thomas, Joelle Pineau, Romain Laroche
2021	J	`jnl`	Multi-Objective SPIBB: Seldonian Offline Policy Improvement with Safety Constraints in Finite MDPs. CoRR Harsh Satija, Philip S. Thomas, Joelle Pineau, Romain Laroche
2021	A*	`conf`	Multi-Task Reinforcement Learning with Context-based Representations. ICML Shagun Sodhani, Amy Zhang, Joelle Pineau
2021	J	`jnl`	Multi-Task Reinforcement Learning with Context-based Representations. CoRR Shagun Sodhani, Amy Zhang, Joelle Pineau
2021	A*	`conf`	OptiDICE: Offline Policy Optimization via Stationary Distribution Correction Estimation. ICML Jongmin Lee, Wonseok Jeon, Byung-Jun Lee, Joelle Pineau, Kee-Eung Kim
2021	J	`jnl`	OptiDICE: Offline Policy Optimization via Stationary Distribution Correction Estimation. CoRR Jongmin Lee, Wonseok Jeon, Byung-Jun Lee, Joelle Pineau, Kee-Eung Kim
2021	J	`jnl`	Quasi-Equivalence Discovery for Zero-Shot Emergent Communication. CoRR Kalesha Bullard, Douwe Kiela, Joelle Pineau, Jakob N. Foerster
2021	J	`jnl`	Reducing Representation Drift in Online Continual Learning. CoRR Lucas Caccia, Rahaf Aljundi, Tinne Tuytelaars, Joelle Pineau, Eugene Belilovsky
2021	A*	`conf`	Regularized Inverse Reinforcement Learning. ICLR Wonseok Jeon, Chen-Yang Su, Paul Barde, Thang Doan, Derek Nowrouzezahrai, Joelle Pineau
2021	J	`jnl`	SPeCiaL: Self-Supervised Pretraining for Continual Learning. CoRR Lucas Caccia, Joelle Pineau
2021	—	`conf`	SPeCiaL: Self-supervised Pretraining for Continual Learning. CSSL Lucas Caccia, Joelle Pineau
2021	J	`jnl`	Sometimes We Want Translationese. CoRR Prasanna Parthasarathi, Koustuv Sinha, Joelle Pineau, Adina Williams
2021	—	`conf`	Sometimes We Want Ungrammatical Translations. EMNLP (Findings) Prasanna Parthasarathi, Koustuv Sinha, Joelle Pineau, Adina Williams
2021	A	`conf`	TDprop: Does Adaptive Optimization With Jacobi Preconditioning Help Temporal Difference Learning? AAMAS Joshua Romoff, Peter Henderson, David Kanaa, Emmanuel Bengio, Ahmed Touati, Pierre-Luc Bacon, Joelle Pineau
2021	—	`conf`	UnNatural Language Inference. ACL/IJCNLP (1) Koustuv Sinha, Prasanna Parthasarathi, Joelle Pineau, Adina Williams
2021	J	`jnl`	Unnatural Language Inference. CoRR Koustuv Sinha, Prasanna Parthasarathi, Joelle Pineau, Adina Williams
2020	—	`conf`	A Large-Scale, Open-Domain, Mixed-Interface Dialogue-Based ITS for STEM. AIED (2) Iulian Vlad Serban, Varun Gupta, Ekaterina Kochmar, Dung Do Vu, Robert Belfer, Joelle Pineau, Aaron C. Courville, Laurent Charlin, Yoshua Bengio
2020	J	`jnl`	A Large-Scale, Open-Domain, Mixed-Interface Dialogue-Based ITS for STEM. CoRR Iulian Vlad Serban, Varun Gupta, Ekaterina Kochmar, Dung Do Vu, Robert Belfer, Joelle Pineau, Aaron C. Courville, Laurent Charlin, Yoshua Bengio
2020	A*	`conf`	Adversarial Soft Advantage Fitting: Imitation Learning without Policy Optimization. NeurIPS Paul Barde, Julien Roy, Wonseok Jeon, Joelle Pineau, Chris Pal, Derek Nowrouzezahrai
2020	J	`jnl`	Adversarial Soft Advantage Fitting: Imitation Learning without Policy Optimization. CoRR Paul Barde, Julien Roy, Wonseok Jeon, Joelle Pineau, Christopher J. Pal, Derek Nowrouzezahrai
2020	—	`conf`	Automated Personalized Feedback Improves Learning Gains in An Intelligent Tutoring System. AIED (2) Ekaterina Kochmar, Dung Do Vu, Robert Belfer, Varun Gupta, Iulian Vlad Serban, Joelle Pineau
2020	J	`jnl`	Automated Personalized Feedback Improves Learning Gains in an Intelligent Tutoring System. CoRR Ekaterina Kochmar, Dung Do Vu, Robert Belfer, Varun Gupta, Iulian Vlad Serban, Joelle Pineau
2020	—	`conf`	Building reproducible, reusable, and robust machine learning software. DEBS Joelle Pineau
2020	A*	`conf`	Constrained Markov Decision Processes via Backward Value Functions. ICML Harsh Satija, Philip Amortila, Joelle Pineau
2020	J	`jnl`	Constrained Markov Decision Processes via Backward Value Functions. CoRR Harsh Satija, Philip Amortila, Joelle Pineau
2020	J	`jnl`	Deep interpretability for GWAS. CoRR Deepak Sharma, Audrey Durand, Marc-André Legault, Louis-Philippe Lemieux Perreault, Audrey Lemaçon, Marie-Pierre Dubé, Joelle Pineau
2020	J	`jnl`	Evaluating Logical Generalization in Graph Neural Networks. CoRR Koustuv Sinha, Shagun Sodhani, Joelle Pineau, William L. Hamilton
2020	A*	`conf`	Exploiting Spatial Invariance for Scalable Unsupervised Object Tracking. AAAI Eric Crawford, Joelle Pineau
2020	J	`jnl`	Exploring Zero-Shot Emergent Communication in Embodied Multi-Agent Populations. CoRR Kalesha Bullard, Franziska Meier, Douwe Kiela, Joelle Pineau, Jakob N. Foerster
2020	A*	`conf`	Handling Black Swan Events in Deep Learning with Diversely Extrapolated Neural Networks. IJCAI Maxime Wabartha, Audrey Durand, Vincent François-Lavet, Joelle Pineau
2020	J	`jnl`	How To Evaluate Your Dialogue System: Probe Tasks as an Alternative for Token-level Evaluation Metrics. CoRR Prasanna Parthasarathi, Joelle Pineau, Sarath Chandar
2020	J	`jnl`	Improving Reproducibility in Machine Learning Research (A Report from the NeurIPS 2019 Reproducibility Program). CoRR Joelle Pineau, Philippe Vincent-Lamarre, Koustuv Sinha, Vincent Larivière, Alina Beygelzimer, Florence d'Alché-Buc, Emily B. Fox, Hugo Larochelle
2020	A*	`conf`	Interference and Generalization in Temporal Difference Learning. ICML Emmanuel Bengio, Joelle Pineau, Doina Precup
2020	J	`jnl`	Interference and Generalization in Temporal Difference Learning. CoRR Emmanuel Bengio, Joelle Pineau, Doina Precup
2020	J	`jnl`	Intervention Design for Effective Sim2Real Transfer. CoRR Melissa Mozifian, Amy Zhang, Joelle Pineau, David Meger
2020	A*	`conf`	Invariant Causal Prediction for Block MDPs. ICML Amy Zhang, Clare Lyle, Shagun Sodhani, Angelos Filos, Marta Kwiatkowska, Joelle Pineau, Yarin Gal, Doina Precup
2020	J	`jnl`	Invariant Causal Prediction for Block MDPs. CoRR Amy Zhang, Clare Lyle, Shagun Sodhani, Angelos Filos, Marta Kwiatkowska, Joelle Pineau, Yarin Gal, Doina Precup
2020	A*	`conf`	Language GANs Falling Short. ICLR Massimo Caccia, Lucas Caccia, William Fedus, Hugo Larochelle, Joelle Pineau, Laurent Charlin
2020	A*	`conf`	Learning an Unreferenced Metric for Online Dialogue Evaluation. ACL Koustuv Sinha, Prasanna Parthasarathi, Jasmine Wang, Ryan Lowe, William L. Hamilton, Joelle Pineau
2020	J	`jnl`	Learning an Unreferenced Metric for Online Dialogue Evaluation. CoRR Koustuv Sinha, Prasanna Parthasarathi, Jasmine Wang, Ryan Lowe, William L. Hamilton, Joelle Pineau
2020	A*	`conf`	Literature Mining for Incorporating Inductive Bias in Biomedical Prediction Tasks (Student Abstract). AAAI Qizhen Zhang, Audrey Durand, Joelle Pineau
2020	J	`jnl`	Machine Learning for COVID-19 needs global collaboration and data-sharing. Nat. Mach. Intell. Nathan Peiffer-Smadja, Redwan Maatoug, François-Xavier Lescure, Eric D'ortenzio, Joelle Pineau, Jean-Rémi King
2020	J	`jnl`	Multi-Task Reinforcement Learning as a Hidden-Parameter Block MDP. CoRR Amy Zhang, Shagun Sodhani, Khimya Khetarpal, Joelle Pineau
2020	A*	`conf`	Novelty Search in Representational Space for Sample Efficient Exploration. NeurIPS Ruo Yu Tao, Vincent François-Lavet, Joelle Pineau
2020	J	`jnl`	Novelty Search in representational space for sample efficient exploration. CoRR Ruo Yu Tao, Vincent François-Lavet, Joelle Pineau
2020	A*	`conf`	On Overfitting and Asymptotic Bias in Batch Reinforcement Learning with Partial Observability (Extended Abstract). IJCAI Vincent François-Lavet, Guillaume Rabusseau, Joelle Pineau, Damien Ernst, Raphael Fonteneau
2020	A*	`conf`	On the interaction between supervision and self-play in emergent communication. ICLR Ryan Lowe, Abhinav Gupta, Jakob N. Foerster, Douwe Kiela, Joelle Pineau
2020	J	`jnl`	On the interaction between supervision and self-play in emergent communication. CoRR Ryan Lowe, Abhinav Gupta, Jakob N. Foerster, Douwe Kiela, Joelle Pineau
2020	A*	`conf`	Online Learned Continual Compression with Adaptive Quantization Modules. ICML Lucas Caccia, Eugene Belilovsky, Massimo Caccia, Joelle Pineau
2020	—	`conf`	Plan2Vec: Unsupervised Representation Learning by Latent Plans. L4DC Ge Yang, Amy Zhang, Ari S. Morcos, Joelle Pineau, Pieter Abbeel, Roberto Calandra
2020	J	`jnl`	Plan2Vec: Unsupervised Representation Learning by Latent Plans. CoRR Ge Yang, Amy Zhang, Ari S. Morcos, Joelle Pineau, Pieter Abbeel, Roberto Calandra
2020	J	`jnl`	Provably efficient reconstruction of policy networks. CoRR Bogdan Mazoure, Thang Doan, Tianyu Li, Vladimir Makarenkov, Joelle Pineau, Doina Precup, Guillaume Rabusseau
2020	J	`jnl`	Regularized Inverse Reinforcement Learning. CoRR Wonseok Jeon, Chen-Yang Su, Paul Barde, Thang Doan, Derek Nowrouzezahrai, Joelle Pineau
2020	J	`jnl`	Scalable Multi-Agent Inverse Reinforcement Learning via Actor-Attention-Critic. CoRR Wonseok Jeon, Paul Barde, Derek Nowrouzezahrai, Joelle Pineau
2020	A	`conf`	Stable Policy Optimization via Off-Policy Divergence Regularization. UAI Ahmed Touati, Amy Zhang, Joelle Pineau, Pascal Vincent
2020	J	`jnl`	Stable Policy Optimization via Off-Policy Divergence Regularization. CoRR Ahmed Touati, Amy Zhang, Joelle Pineau, Pascal Vincent
2020	J	`jnl`	TDprop: Does Jacobi Preconditioning Help Temporal Difference Learning? CoRR Joshua Romoff, Peter Henderson, David Kanaa, Emmanuel Bengio, Ahmed Touati, Pierre-Luc Bacon, Joelle Pineau
2020	J	`jnl`	The Bottleneck Simulator: A Model-Based Deep Reinforcement Learning Approach. J. Artif. Intell. Res. Iulian Vlad Serban, Chinnadhurai Sankar, Michael Pieper, Joelle Pineau, Yoshua Bengio
2020	J	`jnl`	Towards the Systematic Reporting of the Energy and Carbon Footprints of Machine Learning. CoRR Peter Henderson, Jieru Hu, Joshua Romoff, Emma Brunskill, Dan Jurafsky, Joelle Pineau
2019	J	`jnl`	Attraction-Repulsion Actor-Critic for Continuous Control Reinforcement Learning. CoRR Thang Doan, Bogdan Mazoure, Audrey Durand, Joelle Pineau, R. Devon Hjelm
2019	J	`jnl`	Benchmarking Batch Deep Reinforcement Learning Algorithms. CoRR Scott Fujimoto, Edoardo Conti, Mohammad Ghavamzadeh, Joelle Pineau
2019	—	`conf`	CLUTRR: A Diagnostic Benchmark for Inductive Reasoning from Text. EMNLP/IJCNLP (1) Koustuv Sinha, Shagun Sodhani, Jin Dong, Joelle Pineau, William L. Hamilton
2019	J	`jnl`	CLUTRR: A Diagnostic Benchmark for Inductive Reasoning from Text. CoRR Koustuv Sinha, Shagun Sodhani, Jin Dong, Joelle Pineau, William L. Hamilton
2019	A*	`conf`	Combined Reinforcement Learning via Abstract Representations. AAAI Vincent François-Lavet, Yoshua Bengio, Doina Precup, Joelle Pineau
2019	A	`conf`	Deep Generative Modeling of LiDAR Data. IROS Lucas Caccia, Herke van Hoof, Aaron C. Courville, Joelle Pineau
2019	J	`jnl`	Exploiting Spatial Invariance for Scalable Unsupervised Object Tracking. CoRR Eric Crawford, Joelle Pineau
2019	A*	`conf`	Gossip-based Actor-Learner Architectures for Deep Reinforcement Learning. NeurIPS Mahmoud Assran, Joshua Romoff, Nicolas Ballas, Joelle Pineau, Mike Rabbat
2019	J	`jnl`	Gossip-based Actor-Learner Architectures for Deep Reinforcement Learning. CoRR Mahmoud Assran, Joshua Romoff, Nicolas Ballas, Joelle Pineau, Mike Rabbat
2019	J	`jnl`	Improving Sample Efficiency in Model-Free Reinforcement Learning from Images. CoRR Denis Yarats, Amy Zhang, Ilya Kostrikov, Brandon Amos, Joelle Pineau, Rob Fergus
2019	J	`jnl`	Learning Causal State Representations of Partially Observable Environments. CoRR Amy Zhang, Zachary C. Lipton, Luis Pineda, Kamyar Azizzadenesheli, Anima Anandkumar, Laurent Itti, Joelle Pineau, Tommaso Furlanello
2019	Misc	`conf`	Leveraging exploration in off-policy algorithms via normalizing flows. CoRL Bogdan Mazoure, Thang Doan, Audrey Durand, Joelle Pineau, R. Devon Hjelm
2019	J	`jnl`	Leveraging exploration in off-policy algorithms via normalizing flows. CoRR Bogdan Mazoure, Thang Doan, Audrey Durand, R. Devon Hjelm, Joelle Pineau
2019	J	`jnl`	MVFST-RL: An Asynchronous RL Framework for Congestion Control with Delayed Actions. CoRR Viswanath Sivakumar, Tim Rocktäschel, Alexander H. Miller, Heinrich Küttler, Nantas Nardelli, Mike Rabbat, Joelle Pineau, Sebastian Riedel
2019	A	`conf`	Multitask Metric Learning: Theory and Algorithm. AISTATS Boyu Wang, Hejia Zhang, Peng Liu, Zebang Shen, Joelle Pineau
2019	J	`jnl`	No Press Diplomacy: Modeling Multi-Agent Gameplay. CoRR Philip Paquette, Yuchen Lu, Steven Bocco, Max O. Smith, Satya Ortiz-Gagne, Jonathan K. Kummerfeld, Satinder Singh, Joelle Pineau, Aaron C. Courville
2019	A*	`conf`	No-Press Diplomacy: Modeling Multi-Agent Gameplay. NeurIPS Philip Paquette, Yuchen Lu, Steven Bocco, Max O. Smith, Satya Ortiz-Gagne, Jonathan K. Kummerfeld, Joelle Pineau, Satinder Singh, Aaron C. Courville
2019	J	`jnl`	On Overfitting and Asymptotic Bias in Batch Reinforcement Learning with Partial Observability. J. Artif. Intell. Res. Vincent François-Lavet, Guillaume Rabusseau, Joelle Pineau, Damien Ernst, Raphael Fonteneau
2019	A	`conf`	On the Pitfalls of Measuring Emergent Communication. AAMAS Ryan Lowe, Jakob N. Foerster, Y-Lan Boureau, Joelle Pineau, Yann N. Dauphin
2019	J	`jnl`	On the Pitfalls of Measuring Emergent Communication. CoRR Ryan Lowe, Jakob N. Foerster, Y-Lan Boureau, Joelle Pineau, Yann N. Dauphin
2019	A*	`conf`	On-Line Adaptative Curriculum Learning for GANs. AAAI Thang Doan, João Monteiro, Isabela Albuquerque, Bogdan Mazoure, Audrey Durand, Joelle Pineau, R. Devon Hjelm
2019	J	`jnl`	Online Learned Continual Compression with Stacked Quantization Module. CoRR Lucas Caccia, Eugene Belilovsky, Massimo Caccia, Joelle Pineau
2019	A	`conf`	Randomized Value Functions via Multiplicative Normalizing Flows. UAI Ahmed Touati, Harsh Satija, Joshua Romoff, Joelle Pineau, Pascal Vincent
2019	J	`jnl`	Recurrent Value Functions. CoRR Pierre Thodoroff, Nishanth Anand, Lucas Caccia, Doina Precup, Joelle Pineau
2019	—	`conf`	Seeded self-play for language learning. LANTERN@EMNLP-IJCNLP Abhinav Gupta, Ryan Lowe, Jakob N. Foerster, Douwe Kiela, Joelle Pineau
2019	A*	`conf`	Separable value functions across time-scales. ICML Joshua Romoff, Peter Henderson, Ahmed Touati, Yann Ollivier, Joelle Pineau, Emma Brunskill
2019	J	`jnl`	Separating value functions across time-scales. CoRR Joshua Romoff, Peter Henderson, Ahmed Touati, Yann Ollivier, Emma Brunskill, Joelle Pineau
2019	A*	`conf`	Spatially Invariant Unsupervised Object Detection with Convolutional Neural Networks. AAAI Eric Crawford, Joelle Pineau
2019	A*	`conf`	TarMAC: Targeted Multi-Agent Communication. ICML Abhishek Das, Théophile Gervet, Joshua Romoff, Dhruv Batra, Devi Parikh, Mike Rabbat, Joelle Pineau
2019	J	`jnl`	The Second Conversational Intelligence Challenge (ConvAI2). CoRR Emily Dinan, Varvara Logacheva, Valentin Malykh, Alexander H. Miller, Kurt Shuster, Jack Urbanek, Douwe Kiela, Arthur Szlam, Iulian Serban, Ryan Lowe, Shrimai Prabhumoye, Alan W. Black, Alexander I. Rudnicky, Jason D. Williams, Joelle Pineau, Mikhail Burtsev, Jason Weston
2018	J	`jnl`	A Decision-Theoretic Approach for the Collaborative Control of a Smart Wheelchair. Int. J. Soc. Robotics Mahmoud Ghorbel, Joelle Pineau, Richard Gourdeau, Shervin Javdani, Siddhartha S. Srinivasa
2018	J	`jnl`	A Deep Reinforcement Learning Chatbot (Short Version). CoRR Iulian Vlad Serban, Chinnadhurai Sankar, Mathieu Germain, Saizheng Zhang, Zhouhan Lin, Sandeep Subramanian, Taesup Kim, Michael Pieper, Sarath Chandar, Nan Rosemary Ke, Sai Rajeswar, Alexandre de Brébisson, Jose M. R. Sotelo, Dendi Suhubdy, Vincent Michalski, Alexandre Nguyen, Joelle Pineau, Yoshua Bengio
2018	J	`jnl`	A Dissection of Overfitting and Generalization in Continuous Reinforcement Learning. CoRR Amy Zhang, Nicolas Ballas, Joelle Pineau
2018	J	`jnl`	A Survey of Available Corpora For Building Data-Driven Dialogue Systems: The Journal Version. Dialogue Discourse Iulian Vlad Serban, Ryan Lowe, Peter Henderson, Laurent Charlin, Joelle Pineau
2018	J	`jnl`	Adversarial Gain. CoRR Peter Henderson, Koustuv Sinha, Nan Rosemary Ke, Joelle Pineau
2018	A*	`conf`	An Inference-Based Policy Gradient Method for Learning Options. ICML Matthew J. A. Smith, Herke van Hoof, Joelle Pineau
2018	J	`jnl`	An Introduction to Deep Reinforcement Learning. CoRR Vincent François-Lavet, Peter Henderson, Riashat Islam, Marc G. Bellemare, Joelle Pineau
2018	J	`jnl`	An Introduction to Deep Reinforcement Learning. Found. Trends Mach. Learn. Vincent François-Lavet, Peter Henderson, Riashat Islam, Marc G. Bellemare, Joelle Pineau
2018	J	`jnl`	Combined Reinforcement Learning via Abstract Representations. CoRR Vincent François-Lavet, Yoshua Bengio, Doina Precup, Joelle Pineau
2018	J	`jnl`	Compositional Language Understanding with Text-based Relational Reasoning. CoRR Koustuv Sinha, Shagun Sodhani, William L. Hamilton, Joelle Pineau
2018	—	`conf`	Contextual Bandits for Adapting Treatment in a Mouse Model of de Novo Carcinogenesis. MLHC Audrey Durand, Charis Achilleos, Demetris Iacovides, Katerina Strati, Georgios D. Mitsis, Joelle Pineau
2018	—	`conf`	Decoupling Dynamics and Reward for Transfer Learning. ICLR (Workshop) Amy Zhang, Harsh Satija, Joelle Pineau
2018	J	`jnl`	Decoupling Dynamics and Reward for Transfer Learning. CoRR Amy Zhang, Harsh Satija, Joelle Pineau
2018	J	`jnl`	Deep Generative Modeling of LiDAR Data. CoRR Lucas Caccia, Herke van Hoof, Aaron C. Courville, Joelle Pineau
2018	A*	`conf`	Deep Reinforcement Learning That Matters. AAAI Peter Henderson, Riashat Islam, Philip Bachman, Joelle Pineau, Doina Precup, David Meger
2018	J	`jnl`	Disentangling the independently controllable factors of variation by interacting with the world. CoRR Valentin Thomas, Emmanuel Bengio, William Fedus, Jules Pondard, Philippe Beaudoin, Hugo Larochelle, Joelle Pineau, Doina Precup, Yoshua Bengio
2018	C	`conf`	Ethical Challenges in Data-Driven Dialogue Systems. AIES Peter Henderson, Koustuv Sinha, Nicolas Angelard-Gontier, Nan Rosemary Ke, Genevieve Fried, Ryan Lowe, Joelle Pineau
2018	A*	`conf`	Extending Neural Generative Conversational Model using External Knowledge Sources. EMNLP Prasanna Parthasarathi, Joelle Pineau
2018	J	`jnl`	Extending Neural Generative Conversational Model using External Knowledge Sources. CoRR Prasanna Parthasarathi, Joelle Pineau
2018	A*	`conf`	Focused Hierarchical RNNs for Conditional Sequence Processing. ICML Nan Rosemary Ke, Konrad Zolna, Alessandro Sordoni, Zhouhan Lin, Adam Trischler, Yoshua Bengio, Joelle Pineau, Laurent Charlin, Christopher J. Pal
2018	J	`jnl`	Focused Hierarchical RNNs for Conditional Sequence Processing. CoRR Nan Rosemary Ke, Konrad Zolna, Alessandro Sordoni, Zhouhan Lin, Adam Trischler, Yoshua Bengio, Joelle Pineau, Laurent Charlin, Chris Pal
2018	J	`jnl`	Language GANs Falling Short. CoRR Massimo Caccia, Lucas Caccia, William Fedus, Hugo Larochelle, Joelle Pineau, Laurent Charlin
2018	J	`jnl`	Natural Environment Benchmarks for Reinforcement Learning. CoRR Amy Zhang, Yuxin Wu, Joelle Pineau
2018	J	`jnl`	Online Adaptative Curriculum Learning for GANs. CoRR Thang Doan, João Monteiro, Isabela Albuquerque, Bogdan Mazoure, Audrey Durand, Joelle Pineau, R. Devon Hjelm
2018	A*	`conf`	OptionGAN: Learning Joint Reward-Policy Options Using Generative Adversarial Inverse Reinforcement Learning. AAAI Peter Henderson, Wei-Di Chang, Pierre-Luc Bacon, David Meger, Joelle Pineau, Doina Precup
2018	J	`jnl`	Randomized Value Functions via Multiplicative Normalizing Flows. CoRR Ahmed Touati, Harsh Satija, Joshua Romoff, Joelle Pineau, Pascal Vincent
2018	Misc	`conf`	Reward Estimation for Variance Reduction in Deep Reinforcement Learning. CoRL Joshua Romoff, Peter Henderson, Alexandre Piché, Vincent François-Lavet, Joelle Pineau
2018	—	`conf`	Reward Estimation for Variance Reduction in Deep Reinforcement Learning. ICLR (Workshop) Joshua Romoff, Alexandre Piché, Peter Henderson, Vincent François-Lavet, Joelle Pineau
2018	J	`jnl`	Reward Estimation for Variance Reduction in Deep Reinforcement Learning. CoRR Joshua Romoff, Alexandre Piché, Peter Henderson, Vincent François-Lavet, Joelle Pineau
2018	J	`jnl`	Sequential Coordination of Deep Models for Learning Visual Arithmetic. CoRR Eric Crawford, Guillaume Rabusseau, Joelle Pineau
2018	J	`jnl`	Streaming kernel regression with provably adaptive mean, variance, and regularization. J. Mach. Learn. Res. Audrey Durand, Odalric-Ambrym Maillard, Joelle Pineau
2018	J	`jnl`	TarMAC: Targeted Multi-Agent Communication. CoRR Abhishek Das, Théophile Gervet, Joshua Romoff, Dhruv Batra, Devi Parikh, Michael G. Rabbat, Joelle Pineau
2018	A*	`conf`	Temporal Regularization for Markov Decision Process. NeurIPS Pierre Thodoroff, Audrey Durand, Joelle Pineau, Doina Precup
2018	J	`jnl`	Temporal Regularization in Markov Decision Process. CoRR Pierre Thodoroff, Audrey Durand, Joelle Pineau, Doina Precup
2018	J	`jnl`	The Bottleneck Simulator: A Model-based Deep Reinforcement Learning Approach. CoRR Iulian Vlad Serban, Chinnadhurai Sankar, Michael Pieper, Joelle Pineau, Yoshua Bengio
2018	J	`jnl`	The RLLChatbot: a solution to the ConvAI challenge. CoRR Nicolas Gontier, Koustuv Sinha, Peter Henderson, Iulian Serban, Michael Noseworthy, Prasanna Parthasarathi, Joelle Pineau
2018	J	`jnl`	Where Did My Optimum Go?: An Empirical Analysis of Gradient Descent Optimization in Policy Gradient Methods. CoRR Peter Henderson, Joshua Romoff, Joelle Pineau
2017	J	`jnl`	A Deep Reinforcement Learning Chatbot. CoRR Iulian Vlad Serban, Chinnadhurai Sankar, Mathieu Germain, Saizheng Zhang, Zhouhan Lin, Sandeep Subramanian, Taesup Kim, Michael Pieper, Sarath Chandar, Nan Rosemary Ke, Sai Mudumba, Alexandre de Brébisson, Jose Sotelo, Dendi Suhubdy, Vincent Michalski, Alexandre Nguyen, Joelle Pineau, Yoshua Bengio
2017	A*	`conf`	A Hierarchical Latent Variable Encoder-Decoder Model for Generating Dialogues. AAAI Iulian Vlad Serban, Alessandro Sordoni, Ryan Lowe, Laurent Charlin, Joelle Pineau, Aaron C. Courville, Yoshua Bengio
2017	—	`conf`	A Sparse Probabilistic Model of User Preference Data. Canadian AI Matthew Smith, Laurent Charlin, Joelle Pineau
2017	J	`jnl`	ACtuAL: Actor-Critic Under Adversarial Learning. CoRR Anirudh Goyal, Nan Rosemary Ke, Alex Lamb, R. Devon Hjelm, Chris Pal, Joelle Pineau, Yoshua Bengio
2017	—	`conf`	An Actor-Critic Algorithm for Sequence Prediction. ICLR (Poster) Dzmitry Bahdanau, Philemon Brakel, Kelvin Xu, Anirudh Goyal, Ryan Lowe, Joelle Pineau, Aaron C. Courville, Yoshua Bengio
2017	J	`jnl`	Deep Reinforcement Learning that Matters. CoRR Peter Henderson, Riashat Islam, Philip Bachman, Joelle Pineau, Doina Precup, David Meger
2017	J	`jnl`	Ethical Challenges in Data-Driven Dialogue Systems. CoRR Peter Henderson, Koustuv Sinha, Nicolas Angelard-Gontier, Nan Rosemary Ke, Genevieve Fried, Ryan Lowe, Joelle Pineau
2017	J	`jnl`	Independently Controllable Factors. CoRR Valentin Thomas, Jules Pondard, Emmanuel Bengio, Marc Sarfati, Philippe Beaudoin, Marie-Jean Meurs, Joelle Pineau, Doina Precup, Yoshua Bengio
2017	J	`jnl`	Independently Controllable Features. CoRR Emmanuel Bengio, Valentin Thomas, Joelle Pineau, Doina Precup, Yoshua Bengio
2017	—	`conf`	MACA: A Modular Architecture for Conversational Agents. SIGDIAL Conference Hoai Phuoc Truong, Prasanna Parthasarathi, Joelle Pineau
2017	J	`jnl`	Modeling Glucagon Action in Patients With Type 1 Diabetes. IEEE J. Biomed. Health Informatics Ali Emami, Joseph El Youssef, Remi Rabasa-Lhoret, Joelle Pineau, Jessica R. Castle, Ahmad Haidar
2017	—	`conf`	Multitask Spectral Learning of Weighted Automata. NIPS Guillaume Rabusseau, Borja Balle, Joelle Pineau
2017	J	`jnl`	OptionGAN: Learning Joint Reward-Policy Options using Generative Adversarial Inverse Reinforcement Learning. CoRR Peter Henderson, Wei-Di Chang, Pierre-Luc Bacon, David Meger, Joelle Pineau, Doina Precup
2017	A*	`conf`	Piecewise Latent Variables for Neural Variational Text Processing. EMNLP Iulian Vlad Serban, Alexander G. Ororbia II, Joelle Pineau, Aaron C. Courville
2017	—	`conf`	Piecewise Latent Variables for Neural Variational Text Processing. SPNLP@EMNLP Iulian Vlad Serban, Alexander Ororbia, Joelle Pineau, Aaron C. Courville
2017	—	`conf`	Predicting Success in Goal-Driven Human-Human Dialogues. SIGDIAL Conference Michael Noseworthy, Jackie Chi Kit Cheung, Joelle Pineau
2017	J	`jnl`	Streaming kernel regression with provably adaptive mean, variance, and regularization. CoRR Audrey Durand, Odalric-Ambrym Maillard, Joelle Pineau
2017	J	`jnl`	Tensor Regression Networks with various Low-Rank Tensor Approximations. CoRR Xingwei Cao, Guillaume Rabusseau, Joelle Pineau
2017	—	`conf`	Towards an Automatic Turing Test: Learning to Evaluate Dialogue Responses. ACL (1) Ryan Lowe, Michael Noseworthy, Iulian Vlad Serban, Nicolas Angelard-Gontier, Yoshua Bengio, Joelle Pineau
2017	J	`jnl`	Towards an Automatic Turing Test: Learning to Evaluate Dialogue Responses. CoRR Ryan Lowe, Michael Noseworthy, Iulian Vlad Serban, Nicolas Angelard-Gontier, Yoshua Bengio, Joelle Pineau
2017	—	`conf`	Towards an automatic Turing test: Learning to evaluate dialogue responses. ICLR (Workshop) Ryan Lowe, Michael Noseworthy, Iulian Vlad Serban, Nicolas Angelard-Gontier, Yoshua Bengio, Joelle Pineau
2017	J	`jnl`	Training End-to-End Dialogue Systems with the Ubuntu Dialogue Corpus. Dialogue Discourse Ryan Thomas Lowe, Nissan Pow, Iulian Vlad Serban, Laurent Charlin, Chia-Wei Liu, Joelle Pineau
2016	J	`jnl`	A Hierarchical Latent Variable Encoder-Decoder Model for Generating Dialogues. CoRR Iulian Vlad Serban, Alessandro Sordoni, Ryan Lowe, Laurent Charlin, Joelle Pineau, Aaron C. Courville, Yoshua Bengio
2016	J	`jnl`	An Actor-Critic Algorithm for Sequence Prediction. CoRR Dzmitry Bahdanau, Philemon Brakel, Kelvin Xu, Anirudh Goyal, Ryan Lowe, Joelle Pineau, Aaron C. Courville, Yoshua Bengio
2016	J	`jnl`	Bayesian Reinforcement Learning: A Survey. CoRR Mohammad Ghavamzadeh, Shie Mannor, Joelle Pineau, Aviv Tamar
2016	A*	`conf`	Building End-To-End Dialogue Systems Using Generative Hierarchical Neural Network Models. AAAI Iulian Vlad Serban, Alessandro Sordoni, Yoshua Bengio, Aaron C. Courville, Joelle Pineau
2016	A*	`conf`	Generalized Dictionary for Multitask Learning with Boosting. IJCAI Boyu Wang, Joelle Pineau
2016	J	`jnl`	Generative Deep Neural Networks for Dialogue: A Short Review. CoRR Iulian Vlad Serban, Ryan Lowe, Laurent Charlin, Joelle Pineau
2016	A*	`conf`	How NOT To Evaluate Your Dialogue System: An Empirical Study of Unsupervised Evaluation Metrics for Dialogue Response Generation. EMNLP Chia-Wei Liu, Ryan Lowe, Iulian Serban, Michael Noseworthy, Laurent Charlin, Joelle Pineau
2016	J	`jnl`	How NOT To Evaluate Your Dialogue System: An Empirical Study of Unsupervised Evaluation Metrics for Dialogue Response Generation. CoRR Chia-Wei Liu, Ryan Lowe, Iulian Vlad Serban, Michael Noseworthy, Laurent Charlin, Joelle Pineau
2016	A*	`conf`	Incremental Stochastic Factorization for Online Reinforcement Learning. AAAI André da Motta Salles Barreto, Rafael L. Beirigo, Joelle Pineau, Doina Precup
2016	—	`conf`	Learning Robust Features using Deep Learning for Automatic Seizure Detection. MLHC Pierre Thodoroff, Joelle Pineau, Andrew Lim
2016	J	`jnl`	Learning Robust Features using Deep Learning for Automatic Seizure Detection. CoRR Pierre Thodoroff, Joelle Pineau, Andrew Lim
2016	A*	`conf`	Learning time series models for pedestrian motion prediction. ICRA Chenghui Zhou, Borja Balle, Joelle Pineau
2016	J	`jnl`	Multi-modal Variational Encoder-Decoders. CoRR Iulian Vlad Serban, Alexander G. Ororbia II, Joelle Pineau, Aaron C. Courville
2016	A*	`conf`	Multitask Generalized Eigenvalue Program. AAAI Boyu Wang, Joelle Pineau, Borja Balle
2016	—	`conf`	On the Evaluation of Dialogue Systems with Next Utterance Classification. SIGDIAL Conference Ryan Lowe, Iulian Vlad Serban, Michael Noseworthy, Laurent Charlin, Joelle Pineau
2016	J	`jnl`	On the Evaluation of Dialogue Systems with Next Utterance Classification. CoRR Ryan Lowe, Iulian Vlad Serban, Michael Noseworthy, Laurent Charlin, Joelle Pineau
2016	—	`conf`	On the Use of Modular Software and Hardware for Designing Wheelchair Robots. AAAI Spring Symposia Martin Gerdzhev, Joelle Pineau, Ian M. Mitchell, Pooja Viswanathan, Geneviève Foley
2016	J	`jnl`	Online Bagging and Boosting for Imbalanced Data Streams. IEEE Trans. Knowl. Data Eng. Boyu Wang, Joelle Pineau
2016	J	`jnl`	Practical Kernel-Based Reinforcement Learning. J. Mach. Learn. Res. André da Motta Salles Barreto, Doina Precup, Joelle Pineau
2016	J	`jnl`	Socially Adaptive Path Planning in Human Environments Using Inverse Reinforcement Learning. Int. J. Soc. Robotics Beomjoon Kim, Joelle Pineau
2015	J	`jnl`	A Survey of Available Corpora for Building Data-Driven Dialogue Systems. CoRR Iulian Vlad Serban, Ryan Lowe, Peter Henderson, Laurent Charlin, Joelle Pineau
2015	—	`conf`	Adaptive Treatment Allocation Using Sub-Sampled Gaussian Processes. AAAI Fall Symposia Audrey Durand, Joelle Pineau
2015	A*	`conf`	An Expectation-Maximization Algorithm to Compute a Stochastic Factorization From Data. IJCAI André da Motta Salles Barreto, Rafael L. Beirigo, Joelle Pineau, Doina Precup
2015	—	`conf`	Analyzing Open Data from the City of Montreal. MUD@ICML Joelle Pineau, Pierre-Luc Bacon
2015	A	`conf`	Automatically characterizing driving activities onboard smart wheelchairs from accelerometer data. IROS HiuKim Yuen, Joelle Pineau, Philippe S. Archambault
2015	J	`jnl`	Bayesian Reinforcement Learning: A Survey. Found. Trends Mach. Learn. Mohammad Ghavamzadeh, Shie Mannor, Joelle Pineau, Aviv Tamar
2015	J	`jnl`	Conditional Computation in Neural Networks for faster models. CoRR Emmanuel Bengio, Pierre-Luc Bacon, Joelle Pineau, Doina Precup
2015	J	`jnl`	Hierarchical Neural Network Generative Models for Movie Dialogues. CoRR Iulian Vlad Serban, Alessandro Sordoni, Yoshua Bengio, Aaron C. Courville, Joelle Pineau
2015	A*	`conf`	Improving the Design and Discovery of Dynamic Treatment Strategies Using Recent Results in Sequential Decision-Making. ICAPS Joelle Pineau
2015	A*	`conf`	Information Gathering and Reward Exploitation of Subgoals for POMDPs. AAAI Hang Ma, Joelle Pineau
2015	—	`conf`	Missteps in Robot Social Navigation. AAAI Fall Symposia Andrew Sutcliffe, Neil A. Tenenholtz, Joelle Pineau
2015	A*	`conf`	Online Boosting Algorithms for Anytime Transfer and Multitask Learning. AAAI Boyu Wang, Joelle Pineau
2015	A*	`conf`	Person tracking and following with 2D laser scanners. ICRA Angus Leigh, Joelle Pineau, Nicolas A. Olmedo, Hong Zhang
2015	—	`conf`	The Ubuntu Dialogue Corpus: A Large Dataset for Research in Unstructured Multi-Turn Dialogue Systems. SIGDIAL Conference Ryan Lowe, Nissan Pow, Iulian Serban, Joelle Pineau
2015	J	`jnl`	The Ubuntu Dialogue Corpus: A Large Dataset for Research in Unstructured Multi-Turn Dialogue Systems. CoRR Ryan Lowe, Nissan Pow, Iulian Serban, Joelle Pineau
2014	J	`jnl`	Efficient learning and planning with compressed predictive states. J. Mach. Learn. Res. William L. Hamilton, Mahdi Milani Fard, Joelle Pineau
2014	—	`conf`	End-to-End Text Recognition with Hybrid HMM Maxout Models. ICLR (Workshop) Ouais Alsharif, Joelle Pineau
2014	—	`conf`	Estimating People's Subjective Experiences of Robot Behavior. AAAI Fall Symposia Andrew Sutcliffe, Daniel H. Grollman, Joelle Pineau
2014	J	`jnl`	Lifelong Learning of Discriminative Representations. CoRR Ouais Alsharif, Philip Bachman, Joelle Pineau
2014	A*	`conf`	Methods of Moments for Learning Stochastic Languages: Unified Presentation and Empirical Comparison. ICML Borja Balle, William L. Hamilton, Joelle Pineau
2014	J	`jnl`	Non-Deterministic Policies in Markovian Decision Processes. CoRR Mahdi Milani Fard, Joelle Pineau
2014	J	`jnl`	Online Planning Algorithms for POMDPs. CoRR Stéphane Ross, Joelle Pineau, Sébastien Paquet, Brahim Chaib-draa
2014	J	`jnl`	Policy Iteration Based on Stochastic Factorization. J. Artif. Intell. Res. André da Motta Salles Barreto, Joelle Pineau, Doina Precup
2014	J	`jnl`	Practical Kernel-Based Reinforcement Learning. CoRR André da Motta Salles Barreto, Doina Precup, Joelle Pineau
2013	J	`jnl`	A survey of point-based POMDP solvers. Auton. Agents Multi Agent Syst. Guy Shani, Joelle Pineau, Robert Kaplow
2013	—	`conf`	Bellman Error Based Feature Generation using Random Projections on Sparse Spaces. NIPS Mahdi Milani Fard, Yuri Grinberg, Amir-massoud Farahmand, Joelle Pineau, Doina Precup
2013	—	`conf`	Designing Intelligent Wheelchairs: Reintegrating AI. AAAI Spring Symposium: Designing Intelligent Robots Joelle Pineau
2013	J	`jnl`	Efficient Learning and Planning with Compressed Predictive States. CoRR William L. Hamilton, Mahdi Milani Fard, Joelle Pineau
2013	—	`conf`	Learning from Limited Demonstrations. NIPS Beomjoon Kim, Amir-massoud Farahmand, Joelle Pineau, Doina Precup
2013	—	`conf`	Maximum Mean Discrepancy Imitation Learning. Robotics: Science and Systems Beomjoon Kim, Joelle Pineau
2013	A*	`conf`	Mixed Observability Predictive State Representations. AAAI Sylvie C. W. Ong, Yuri Grinberg, Joelle Pineau
2013	—	`conf`	Modelling Sparse Dynamical Systems with Compressed Predictive State Representations. ICML (1) William L. Hamilton, Mahdi Milani Fard, Joelle Pineau
2013	J	`jnl`	Online Ensemble Learning for Imbalanced Data Streams. CoRR Boyu Wang, Joelle Pineau
2013	J	`jnl`	Time Series Analysis Using Geometric Template Matching. IEEE Trans. Pattern Anal. Mach. Intell. Jordan Frank, Shie Mannor, Joelle Pineau, Doina Precup
2012	J	`jnl`	Active Learning for Developing Personalized Treatment CoRR Kun Deng, Joelle Pineau, Susan A. Murphy
2012	—	`conf`	An Empirical Analysis of Off-policy Learning in Discrete MDPs. EWRL Cosmin Paduraru, Doina Precup, Joelle Pineau, Gheorghe Comanici
2012	J	`jnl`	Bellman Error Based Feature Generation using Random Projections on Sparse Spaces CoRR Mahdi Milani Fard, Yuri Grinberg, Amir Massoud Farahmand, Joelle Pineau, Doina Precup
2012	J	`jnl`	Building Adaptive Dialogue Systems Via Bayes-Adaptive POMDPs. IEEE J. Sel. Top. Signal Process. ShaoWei Png, Joelle Pineau, Brahim Chaib-draa
2012	A*	`conf`	Compressed Least-Squares Regression on Sparse Spaces. AAAI Mahdi Milani Fard, Yuri Grinberg, Joelle Pineau, Doina Precup
2012	—	`conf`	Design and Evaluation of a Flexible Interface for Spatial Navigation. CRV Emily Tsang, Sylvie C. W. Ong, Joelle Pineau
2012	J	`jnl`	Model-Based Bayesian Reinforcement Learning in Large Structured Domains CoRR Stéphane Ross, Joelle Pineau
2012	—	`conf`	On-line Reinforcement Learning Using Incremental Kernel-Based Stochastic Factorization. NIPS André da Motta Salles Barreto, Doina Precup, Joelle Pineau
2012	J	`jnl`	PAC-Bayesian Policy Evaluation for Reinforcement Learning CoRR Mahdi Milani Fard, Joelle Pineau, Csaba Szepesvári
2012	J	`jnl`	Policy-contingent abstraction for robust robot control CoRR Joelle Pineau, Geoffrey J. Gordon, Sebastian Thrun
2012	J	`jnl`	Proceedings of the 29th International Conference on Machine Learning (ICML-12) CoRR John Langford, Joelle Pineau
2012	J	`jnl`	Reinforcement learning with limited reinforcement: Using Bayes risk for active learning in POMDPs. Artif. Intell. Finale Doshi-Velez, Joelle Pineau, Nicholas Roy
2011	J	`jnl`	A Bayesian Approach for Learning and Planning in Partially Observable Markov Decision Processes. J. Mach. Learn. Res. Stéphane Ross, Joelle Pineau, Brahim Chaib-draa, Pierre Kreitmann
2011	—	`conf`	A Framework for Computing Bounds for the Return of a Policy. EWRL Cosmin Paduraru, Doina Precup, Joelle Pineau
2011	J	`jnl`	A bistable computational model of recurring epileptiform activity as observed in rodent slice preparations. Neural Networks Robert D. Vincent, Aaron C. Courville, Joelle Pineau
2011	A	`conf`	Active Learning for Developing Personalized Treatment. UAI Kun Deng, Joelle Pineau, Susan A. Murphy
2011	—	`conf`	Active learning for personalizing treatment. ADPRL Kun Deng, Joelle Pineau, Susan A. Murphy
2011	J	`jnl`	Anytime Point-Based Approximations for Large POMDPs CoRR Joelle Pineau, Geoffrey J. Gordon, Sebastian Thrun
2011	—	`conf`	Automatic Seizure Detection in an In-Vivo Model of Epilepsy. AAAI Spring Symposium: Computational Physiology Guillaume Saulnier, Joelle Pineau
2011	Misc	`conf`	Bayesian reinforcement learning for POMDP-based dialogue systems. ICASSP ShaoWei Png, Joelle Pineau
2011	—	`conf`	Goal-Directed Online Learning of Predictive Models. EWRL Sylvie C. W. Ong, Yuri Grinberg, Joelle Pineau
2011	J	`jnl`	Informing sequential clinical decision-making through reinforcement learning: an empirical study. Mach. Learn. Susan M. Shortreed, Eric B. Laber, Daniel J. Lizotte, T. Scott Stroup, Joelle Pineau, Susan A. Murphy
2011	—	`conf`	Mobility profile and wheelchair driving skills of powered wheelchair users: Sensor-based event recognition using a support vector machine classifier. EMBC Athena K. Moghaddam, Joelle Pineau, Jordan Frank, Philippe S. Archambault, François Routhier, Therese Audet, Jan Polgar, François Michaud, Patrick Boissy
2011	J	`jnl`	Non-Deterministic Policies in Markovian Decision Processes. J. Artif. Intell. Res. Mahdi Milani Fard, Joelle Pineau
2011	A	`conf`	PAC-Bayesian Policy Evaluation for Reinforcement Learning. UAI Mahdi Milani Fard, Joelle Pineau, Csaba Szepesvári
2011	—	`conf`	Reinforcement Learning using Kernel-Based Stochastic Factorization. NIPS André da Motta Salles Barreto, Doina Precup, Joelle Pineau
2011	—	`conf`	The Duality of State and Observation in Probabilistic Transition Systems. TbiLLC Monica Dinculescu, Christopher Hundt, Prakash Panangaden, Joelle Pineau, Doina Precup
2010	A	`conf`	Automatically suggesting topics for augmenting text documents. CIKM Robert West, Doina Precup, Joelle Pineau
2010	A*	`conf`	Multi-tasking SLAM. ICRA Arthur Guez, Joelle Pineau
2010	—	`conf`	PAC-Bayesian Model Selection for Reinforcement Learning. NIPS Mahdi Milani Fard, Joelle Pineau
2010	—	`conf`	Towards a standardized test for intelligent wheelchairs. PerMIS Joelle Pineau, Robert West, Amin Atrash, Julien Villemure, François Routhier
2010	—	`conf`	Treating Epilepsy by Reinforcement Learning Via Manifold-Based Simulation. AAAI Fall Symposium: Manifold Learning and Its Applications Keith Bush, Joelle Pineau
2010	A*	`conf`	Variable resolution decomposition for robotic navigation under a POMDP framework. ICRA Robert Kaplow, Amin Atrash, Joelle Pineau
2009	A	`conf`	A bayesian reinforcement learning approach for customizing human-robot interfaces. IUI Amin Atrash, Joelle Pineau
2009	J	`jnl`	AAAI 2008 Workshop Reports. AI Mag. Razvan C. Bunescu, Vitor R. Carvalho, Jan Chomicki, Vincent Conitzer, Michael T. Cox, Virginia Dignum, Zachary Dodds, Mark Dredze, David Furcy, Evgeniy Gabrilovich, Mehmet H. Göker, Hans W. Guesgen, Haym Hirsh, Dietmar Jannach, Ulrich Junker, Wolfgang Ketter, Alfred Kobsa, Sven Koenig, Tessa A. Lau, Lundy Lewis, Eric T. Matson, Ted Metzler, Rada Mihalcea, Bamshad Mobasher, Joelle Pineau, Pascal Poupart, Anita Raja, Wheeler Ruml, Norman M. Sadeh, Guy Shani, Daniel G. Shapiro, Sarabjot Singh Anand, Matthew E. Taylor, Kiri Wagstaff, Trey Smith, William E. Walsh, Rong Zhou
2009	A	`conf`	Completing wikipedia's hyperlink structure through dimensionality reduction. CIKM Robert West, Doina Precup, Joelle Pineau
2009	J	`jnl`	Development and Validation of a Robust Speech Interface for Improved Human-Robot Interaction. Int. J. Soc. Robotics Amin Atrash, Robert Kaplow, Julien Villemure, Robert West, Hiba Yamani, Joelle Pineau
2009	—	`conf`	Manifold Embeddings for Model-Based Reinforcement Learning under Partial Observability. NIPS Keith Bush, Joelle Pineau
2009	J	`jnl`	Treating Epilepsy via Adaptive Neurostimulation: a Reinforcement Learning Approach. Int. J. Neural Syst. Joelle Pineau, Arthur Guez, Robert D. Vincent, Gabriella Panuccio, Massimo Avoli
2009	A*	`conf`	Wikispeedia: An Online Game for Inferring Semantic Distances between Concepts. IJCAI Robert West, Joelle Pineau, Doina Precup
2008	A*	`conf`	A Variance Analysis for POMDP Policy Evaluation. AAAI Mahdi Milani Fard, Joelle Pineau, Peng Sun
2008	A*	`conf`	Adaptive Treatment of Epilepsy via Batch-mode Reinforcement Learning. AAAI Arthur Guez, Robert D. Vincent, Massimo Avoli, Joelle Pineau
2008	Misc	`conf`	Bayes-Adaptive POMDPs: A New Perspective on the Explore-Exploit Tradeoff in Partially Observable Domains. ISAIM Joelle Pineau, Stéphane Ross, Brahim Chaib-draa
2008	A*	`conf`	Bayesian reinforcement learning in continuous POMDPs with application to robot navigation. ICRA Stéphane Ross, Brahim Chaib-draa, Joelle Pineau
2008	—	`conf`	MDPs with Non-Deterministic Policies. NIPS Mahdi Milani Fard, Joelle Pineau
2008	A	`conf`	Model-Based Bayesian Reinforcement Learning in Large Structured Domains. UAI Stéphane Ross, Joelle Pineau
2008	J	`jnl`	Online Planning Algorithms for POMDPs. J. Artif. Intell. Res. Stéphane Ross, Joelle Pineau, Sébastien Paquet, Brahim Chaib-draa
2008	Misc	`conf`	Reinforcement Learning with Limited Reinforcement: Using Bayes Risk for Active Learning in POMDPs. ISAIM Finale Doshi, Joelle Pineau, Nicholas Roy
2008	A*	`conf`	Reinforcement learning with limited reinforcement: using Bayes risk for active learning in POMDPs. ICML Finale Doshi, Joelle Pineau, Nicholas Roy
2007	A*	`conf`	A formal framework for robot learning and control under model uncertainty. ICRA Robin Jaulmes, Joelle Pineau, Doina Precup
2007	J	`jnl`	Apprentissage actif dans les processus décisionnels de Markov partiellement observables L'algorithme MEDUSA. Rev. d'Intelligence Artif. Robin Jaulmes, Joelle Pineau, Doina Precup
2007	—	`conf`	Bayes-Adaptive POMDPs. NIPS Stéphane Ross, Brahim Chaib-draa, Joelle Pineau
2007	—	`conf`	Recurrent Boosting for Classification of Natural and Synthetic Time-Series Data. Canadian AI Robert D. Vincent, Joelle Pineau, Philip de Guzman, Massimo Avoli
2007	—	`conf`	Representing Systems with Hidden State. AAAI Fall Symposium: Computational Approaches to Representation Change during Learning and Development Christopher Hundt, Prakash Panangaden, Joelle Pineau, Doina Precup
2007	—	`conf`	SmartWheeler: A Robotic Wheelchair Test-Bed for Investigating New Models of Human-Robot Interaction. AAAI Spring Symposium: Multidisciplinary Collaboration for Socially Assistive Robotics Joelle Pineau, Amin Atrash
2007	—	`conf`	Theoretical Analysis of Heuristic Search Methods for Online POMDPs. NIPS Stéphane Ross, Joelle Pineau, Brahim Chaib-draa
2006	J	`jnl`	Anytime Point-Based Approximations for Large POMDPs. J. Artif. Intell. Res. Joelle Pineau, Geoffrey J. Gordon, Sebastian Thrun
2006	—	`conf`	PAC-Learning of Markov Models with Hidden State. ECML Ricard Gavaldà, Philipp W. Keller, Joelle Pineau, Doina Precup
2006	J	`jnl`	Planning under uncertainty in robotics. Robotics Auton. Syst. Nikos Vlassis, Geoffrey J. Gordon, Joelle Pineau
2006	A*	`conf`	RRT-Plan: A Randomized Algorithm for STRIPS Planning. ICAPS Daniel Burfoot, Joelle Pineau, Gregory Dudek
2006	A*	`conf`	Representing Systems with Hidden State. AAAI Christopher Hundt, Prakash Panangaden, Joelle Pineau, Doina Precup
2005	—	`conf`	Active Learning in Partially Observable Markov Decision Processes. ECML Robin Jaulmes, Joelle Pineau, Doina Precup
2005	C	`conf`	POMDP Planning for Robust Robot Control. ISRR Joelle Pineau, Geoffrey J. Gordon
2003	—	`conf`	Applying Metric-Trees to Belief-Point POMDPs. NIPS Joelle Pineau, Geoffrey J. Gordon, Sebastian Thrun
2003	A*	`conf`	Point-based value iteration: An anytime algorithm for POMDPs. IJCAI Joelle Pineau, Geoffrey J. Gordon, Sebastian Thrun
2003	A	`conf`	Policy-contingent abstraction for robust robot control. UAI Joelle Pineau, Geoffrey J. Gordon, Sebastian Thrun
2003	J	`jnl`	Towards robotic assistants in nursing homes: Challenges and results. Robotics Auton. Syst. Joelle Pineau, Michael Montemerlo, Martha E. Pollack, Nicholas Roy, Sebastian Thrun
2002	—	`conf`	Experiences with a Mobile Robotic Guide for the Elderly. AAAI/IAAI Michael Montemerlo, Joelle Pineau, Nicholas Roy, Sebastian Thrun, Vandi Verma
2002	Misc	`conf`	Robotic Assistance During Ambulation by Older Adults. AMIA Judith T. Matthews, Sandra Engberg, Michael Montemerlo, Joelle Pineau, Nicholas Roy, Joan Rogers, Sebastian Thrun
2000	Misc	`conf`	Fast reinforcement learning of dialog strategies. ICASSP David Goddeau, Joelle Pineau
2000	A*	`conf`	Spoken Dialogue Management Using Probabilistic Reasoning. ACL Nicholas Roy, Joelle Pineau, Sebastian Thrun