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Block Contextual MDPs for Continual Learning


Oct 13, 2021
Shagun Sodhani, Franziska Meier, Joelle Pineau, Amy Zhang

* 26pages, Under Review 

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OptiDICE: Offline Policy Optimization via Stationary Distribution Correction Estimation


Jun 21, 2021
Jongmin Lee, Wonseok Jeon, Byung-Jun Lee, Joelle Pineau, Kee-Eung Kim

* 26 pages, 11 figures, Accepted at ICML 2021 

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Do Encoder Representations of Generative Dialogue Models Encode Sufficient Information about the Task ?


Jun 20, 2021
Prasanna Parthasarathi, Joelle Pineau, Sarath Chandar

* Accepted at SIGDial 2021. arXiv admin note: substantial text overlap with arXiv:2008.10427 

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A Brief Study on the Effects of Training Generative Dialogue Models with a Semantic loss


Jun 20, 2021
Prasanna Parthasarathi, Mohamed Abdelsalam, Joelle Pineau, Sarath Chandar

* Accepted at SIGDial 2021 

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SPeCiaL: Self-Supervised Pretraining for Continual Learning


Jun 16, 2021
Lucas Caccia, Joelle Pineau


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Correcting Momentum in Temporal Difference Learning


Jun 07, 2021
Emmanuel Bengio, Joelle Pineau, Doina Precup

* NeurIPS Deep RL Workshop 2020 

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Multi-Objective SPIBB: Seldonian Offline Policy Improvement with Safety Constraints in Finite MDPs


May 31, 2021
Harsh Satija, Philip S. Thomas, Joelle Pineau, Romain Laroche


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Sometimes We Want Translationese


Apr 15, 2021
Prasanna Parthasarathi, Koustuv Sinha, Joelle Pineau, Adina Williams

* 16 pages, 11 figures and 3 tables 

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Masked Language Modeling and the Distributional Hypothesis: Order Word Matters Pre-training for Little


Apr 14, 2021
Koustuv Sinha, Robin Jia, Dieuwke Hupkes, Joelle Pineau, Adina Williams, Douwe Kiela

* 12 pages + Appendix 

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Reducing Representation Drift in Online Continual Learning


Apr 11, 2021
Lucas Caccia, Rahaf Aljundi, Tinne Tuytelaars, Joelle Pineau, Eugene Belilovsky


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Quasi-Equivalence Discovery for Zero-Shot Emergent Communication


Mar 14, 2021
Kalesha Bullard, Douwe Kiela, Joelle Pineau, Jakob Foerster

* 14 pages 

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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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