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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 

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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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Scalable Multi-Agent Inverse Reinforcement Learning via Actor-Attention-Critic

Feb 24, 2020
Wonseok Jeon, Paul Barde, Derek Nowrouzezahrai, Joelle Pineau

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Provably efficient reconstruction of policy networks

Feb 07, 2020
Bogdan Mazoure, Thang Doan, Tianyu Li, Vladimir Makarenkov, Joelle Pineau, Doina Precup, Guillaume Rabusseau

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On the interaction between supervision and self-play in emergent communication

Feb 04, 2020
Ryan Lowe, Abhinav Gupta, Jakob Foerster, Douwe Kiela, Joelle Pineau

* The first two authors contributed equally. Accepted at ICLR 2020 

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Towards the Systematic Reporting of the Energy and Carbon Footprints of Machine Learning

Jan 31, 2020
Peter Henderson, Jieru Hu, Joshua Romoff, Emma Brunskill, Dan Jurafsky, Joelle Pineau

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Off-Policy Policy Gradient Algorithms by Constraining the State Distribution Shift

Dec 01, 2019
Riashat Islam, Komal K. Teru, Deepak Sharma, Joelle Pineau

* Accepted at NeurIPS 2019 workshop on Deep Reinforcement Learning 

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Exploiting Spatial Invariance for Scalable Unsupervised Object Tracking

Nov 20, 2019
Eric Crawford, Joelle Pineau

* Accepted at AAAI 2020. Code: Visualizations: 

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Online Learned Continual Compression with Stacked Quantization Module

Nov 19, 2019
Lucas Caccia, Eugene Belilovsky, Massimo Caccia, Joelle Pineau

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MVFST-RL: An Asynchronous RL Framework for Congestion Control with Delayed Actions

Oct 30, 2019
Viswanath Sivakumar, Tim Rocktäschel, Alexander H. Miller, Heinrich Küttler, Nantas Nardelli, Mike Rabbat, Joelle Pineau, Sebastian Riedel

* Workshop on ML for Systems at NeurIPS 2019 

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