Joelle Pineau

Managing Director, FAIR

I am the head of the Facebook AI Research lab in Montreal, Canada. I am also an associate professor and William Dawson Scholar at McGill University where I co-direct the Reasoning and Learning Lab. My research focuses on developing new models and algorithms for planning and learning in complex partially-observable domains. I also work on applying these algorithms to complex problems in robotics, healthcare, games and conversational agents.

I serve on the editorial board of the Journal of Artificial Intelligence Research and the Journal of Machine Learning Research and am currently President-Elect of the International Machine Learning Society. I am a senior fellow of the Canadian Institute for Advanced Research and in 2016 was named a member of the College of New Scholars, Artists and Scientists by the Royal Society of Canada.

Latest Publications

arXiv - November 30, 2020

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

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

NeurIPS - November 10, 2020

Adversarial Soft Advantage Fitting: Imitation Learning without Policy Optimization

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

ICML - July 14, 2020

Invariant Causal Prediction for Block MDPs

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

ACL - July 5, 2020

Learning an Unreferenced Metric for Online Dialogue Evaluation

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

Learning for Dynamics & Control (L4DC) - June 10, 2020

Plan2vec: Unsupervised Representation Learning by Latent Plans

Ge Yang, Amy Zhang, Ari Morcos, Joelle Pineau, Pieter Abbeel, Roberto Calandra

ICLR - April 26, 2020

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

Ryan Lowe, Abhinav Gupta, Jakob Foerster, Douwe Kiela, Joelle Pineau

NeurIPS - December 9, 2019

Gossip-based Actor-Learner Architectures for Deep Reinforcement Learning

Mahmoud Assran, Joshua Romoff, Nicolas Ballas, Joelle Pineau, Mike Rabbat

Workshop on ML for Systems at NeurIPS - November 30, 2019

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

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

EMNLP - November 5, 2019

CLUTRR: A Diagnostic Benchmark for Inductive Reasoning from Text

Koustuv Sinha, Shagun Sodhani, Jin Dong, Joelle Pineau, William L. Hamilton

UAI - June 21, 2019

Randomized Value Functions via Multiplicative Normalizing Flows

Ahmed Touati, Harsh Satija, Joshua Romoff, Joelle Pineau, Pascal Vincent

ICML - June 10, 2019

Separating value functions across time-scales

Joshua Romoff, Peter Henderson, Ahmed Touati, Emma Brunskill, Joelle Pineau, Yann Ollivier

ArXiv - March 14, 2019

On the Pitfalls of Measuring Emergent Communication

Ryan Lowe, Jakob Foerster, Y-Lan Boureau, Joelle Pineau, Yann Dauphin

AAAI 2019 - January 28, 2019

Combined Reinforcement Learning via Abstract Representations

Vincent Francois-Lavet, Yoshua Bengio, Doina Precup, Joelle Pineau

AAAI 2019 - January 18, 2019

On-line Adaptative Curriculum Learning for GANs

Thang Doan, João Monteiro, Isabela Albuquerque, Bodgan Mazoure, Audrey Durand, Joelle Pineau, R. Devon Hjelm

AAAI 2019 - January 18, 2019

Spatially Invariant Unsupervised Object Detection with Convolutional Neural Networks

Eric Crawford, Joelle Pineau

NeurIPS 2018 - December 3, 2018

Temporal Regularization in Markov Decision Process

Pierre Thodoroff, Audrey Durand, Joelle Pineau, Doina Precup

EMNLP - October 31, 2018

Extending Neural Generative Conversational Model using External Knowledge Sources

Prasanna Parthasarathi, Joelle Pineau

CoRL - October 29, 2018

Reward Estimation for Variance Reduction in Deep Reinforcement Learning

Joshua Romoff, Peter Henderson, Alexander Piché, Vincent Francois-Lavet, Joelle Pineau

European Workshop on Reinforcement Learning - October 1, 2018

Where Did My Optimum Go?: An Empirical Analysis of Gradient Descent Optimization in Policy Gradient Methods

Peter Henderson, Joshua Romoff, Joelle Pineau

Journal of Machine Learning Research - August 30, 2018

Streaming kernel regression with provably adaptive mean, variance, and regularization

Audrey Durand, Odalric-Ambrym Maillard, Joelle Pineau