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Model-Invariant State Abstractions for Model-Based Reinforcement Learning


Feb 19, 2021
Manan Tomar, Amy Zhang, Roberto Calandra, Matthew E. Taylor, Joelle Pineau


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Domain Adversarial Reinforcement Learning


Feb 14, 2021
Bonnie Li, Vincent François-Lavet, Thang Doan, Joelle Pineau


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Multi-Task Reinforcement Learning with Context-based Representations


Feb 11, 2021
Shagun Sodhani, Amy Zhang, Joelle Pineau

* Under Review 

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Exploring the Limits of Few-Shot Link Prediction in Knowledge Graphs


Feb 05, 2021
Dora Jambor, Komal Teru, Joelle Pineau, William L. Hamilton

* European Chapter of the ACL (EACL), 2021 
* code available at https://github.com/dorajam/few-shot-link-prediction-paper 

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COVID-19 Prognosis via Self-Supervised Representation Learning and Multi-Image Prediction


Jan 25, 2021
Anuroop Sriram, Matthew Muckley, Koustuv Sinha, Farah Shamout, Joelle Pineau, Krzysztof J. Geras, Lea Azour, Yindalon Aphinyanaphongs, Nafissa Yakubova, William Moore


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COVID-19 Deterioration Prediction via Self-Supervised Representation Learning and Multi-Image Prediction


Jan 13, 2021
Anuroop Sriram, Matthew Muckley, Koustuv Sinha, Farah Shamout, Joelle Pineau, Krzysztof J. Geras, Lea Azour, Yindalon Aphinyanaphongs, Nafissa Yakubova, William Moore


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Unnatural Language Inference


Dec 30, 2020
Koustuv Sinha, Prasanna Parthasarathi, Joelle Pineau, Adina Williams

* 10 pages + appendix 

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Intervention Design for Effective Sim2Real Transfer


Dec 03, 2020
Melissa Mozifian, Amy Zhang, Joelle Pineau, David Meger


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Exploring Zero-Shot Emergent Communication in Embodied Multi-Agent Populations


Oct 29, 2020
Kalesha Bullard, Franziska Meier, Douwe Kiela, Joelle Pineau, Jakob Foerster


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Novelty Search in Representational Space for Sample Efficient Exploration


Oct 21, 2020
Ruo Yu Tao, Vincent François-Lavet, Joelle Pineau

* 10 pages + references + appendix. Oral presentation at NeurIPS 2020 

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Regularized Inverse Reinforcement Learning


Oct 07, 2020
Wonseok Jeon, Chen-Yang Su, Paul Barde, Thang Doan, Derek Nowrouzezahrai, Joelle Pineau

* 22 pages, 7 figures 

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Novelty Search in representational space for sample efficient exploration


Sep 28, 2020
Ruo Yu Tao, Vincent François-Lavet, Joelle Pineau

* 9 pages + references + appendix. Oral presentation at NeurIPS 2020 

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Constrained Markov Decision Processes via Backward Value Functions


Aug 26, 2020
Harsh Satija, Philip Amortila, Joelle Pineau


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How To Evaluate Your Dialogue System: Probe Tasks as an Alternative for Token-level Evaluation Metrics


Aug 24, 2020
Prasanna Parthasarathi, Joelle Pineau, Sarath Chandar


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Multi-Task Reinforcement Learning as a Hidden-Parameter Block MDP


Jul 28, 2020
Amy Zhang, Shagun Sodhani, Khimya Khetarpal, Joelle Pineau

* Accepted at the ICML 2020 Workshop on Theoretical Foundations of Reinforcement Learning. 21 pages, 12 figures 

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TDprop: Does Jacobi Preconditioning Help Temporal Difference Learning?


Jul 06, 2020
Joshua Romoff, Peter Henderson, David Kanaa, Emmanuel Bengio, Ahmed Touati, Pierre-Luc Bacon, Joelle Pineau

* Presented at the Theoretical Foundations of Reinforcement Learning workshop at ICML 2020 

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Deep interpretability for GWAS


Jul 03, 2020
Deepak Sharma, Audrey Durand, Marc-André Legault, Louis-Philippe Lemieux Perreault, Audrey Lemaçon, Marie-Pierre Dubé, Joelle Pineau

* Accepted at ICML 2020 workshop on ML Interpretability for Scientific Discovery 

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Adversarial Soft Advantage Fitting: Imitation Learning without Policy Optimization


Jun 23, 2020
Paul Barde, Julien Roy, Wonseok Jeon, Joelle Pineau, Christopher Pal, Derek Nowrouzezahrai


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Automated Personalized Feedback Improves Learning Gains in an Intelligent Tutoring System


May 07, 2020
Ekaterina Kochmar, Dung Do Vu, Robert Belfer, Varun Gupta, Iulian Vlad Serban, Joelle Pineau

* To be published in Proceedings of the the 21st International Conference on Artificial Intelligence in Education (AIED 2020) 

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Plan2Vec: Unsupervised Representation Learning by Latent Plans


May 07, 2020
Ge Yang, Amy Zhang, Ari S. Morcos, Joelle Pineau, Pieter Abbeel, Roberto Calandra

* Proceedings of Machine Learning Research, the 2nd Annual Conference on Learning for Dynamics and Control (2020) Volume 120, 1-12 
* code available at https://geyang.github.io/plan2vec 

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A Large-Scale, Open-Domain, Mixed-Interface Dialogue-Based ITS for STEM


May 06, 2020
Iulian Vlad Serban, Varun Gupta, Ekaterina Kochmar, Dung D. Vu, Robert Belfer, Joelle Pineau, Aaron Courville, Laurent Charlin, Yoshua Bengio

* 6 pages, 1 figure, 1 table, accepted for publication in the 21st International Conference on Artificial Intelligence in Education (AIED 2020) 

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Learning an Unreferenced Metric for Online Dialogue Evaluation


May 01, 2020
Koustuv Sinha, Prasanna Parthasarathi, Jasmine Wang, Ryan Lowe, William L. Hamilton, Joelle Pineau

* Accepted at ACL 2020, 5 pages 

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Improving Reproducibility in Machine Learning Research (A Report from the NeurIPS 2019 Reproducibility Program)


Apr 02, 2020
Joelle Pineau, Philippe Vincent-Lamarre, Koustuv Sinha, Vincent Larivière, Alina Beygelzimer, Florence d'Alché-Buc, Emily Fox, Hugo Larochelle


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Evaluating Logical Generalization in Graph Neural Networks


Mar 14, 2020
Koustuv Sinha, Shagun Sodhani, Joelle Pineau, William L. Hamilton


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Interference and Generalization in Temporal Difference Learning


Mar 13, 2020
Emmanuel Bengio, Joelle Pineau, Doina Precup

* Submitted to ICML 2020. 20 pages, 14 figures 

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Invariant Causal Prediction for Block MDPs


Mar 12, 2020
Amy Zhang, Clare Lyle, Shagun Sodhani, Angelos Filos, Marta Kwiatkowska, Joelle Pineau, Yarin Gal, Doina Precup

* 16 pages, 8 figures 

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Stable Policy Optimization via Off-Policy Divergence Regularization


Mar 09, 2020
Ahmed Touati, Amy Zhang, Joelle Pineau, Pascal Vincent


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