Joelle Pineau

is this you? claim profile

∙ 1 follower
Facebook ∙ McGill University

Associate Professor at McGill University and Research Manager at Facebook AI Research Lab in Montreal.

On the editorial board of Journal of Artificial Intelligence Research and the Journal of Machine Learning Research.

President-Elect of the International Machine Learning Society.

Model-Invariant State Abstractions for Model-Based Reinforcement Learning

Accuracy and generalization of dynamics models is key to the success of ...
02/19/2021 ∙ by Manan Tomar, et al. ∙ 2 ∙ share

read it
Domain Adversarial Reinforcement Learning

We consider the problem of generalization in reinforcement learning wher...
02/14/2021 ∙ by Bonnie Li, et al. ∙ 8 ∙ share

read it
Multi-Task Reinforcement Learning with Context-based Representations

The benefit of multi-task learning over single-task learning relies on t...
02/11/2021 ∙ by Shagun Sodhani, et al. ∙ 18 ∙ share

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

Real-world knowledge graphs are often characterized by low-frequency rel...
02/05/2021 ∙ by Dora Jambor, et al. ∙ 2 ∙ share

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

The rapid spread of COVID-19 cases in recent months has strained hospita...
01/13/2021 ∙ by Anuroop Sriram, et al. ∙ 12 ∙ share

read it
Unnatural Language Inference

Natural Language Understanding has witnessed a watershed moment with the...
12/30/2020 ∙ by Koustuv Sinha, et al. ∙ 5 ∙ share

read it
Intervention Design for Effective Sim2Real Transfer

The goal of this work is to address the recent success of domain randomi...
12/03/2020 ∙ by Melissa Mozifian, et al. ∙ 2 ∙ share

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

Effective communication is an important skill for enabling information e...
10/29/2020 ∙ by Kalesha Bullard, et al. ∙ 13 ∙ share

read it
Regularized Inverse Reinforcement Learning

Inverse Reinforcement Learning (IRL) aims to facilitate a learner's abil...
10/07/2020 ∙ by Wonseok Jeon, et al. ∙ 0 ∙ share

read it
Novelty Search in representational space for sample efficient exploration

We present a new approach for efficient exploration which leverages a lo...
09/28/2020 ∙ by Ruo Yu Tao, et al. ∙ 0 ∙ share

read it
Constrained Markov Decision Processes via Backward Value Functions

Although Reinforcement Learning (RL) algorithms have found tremendous su...
08/26/2020 ∙ by Harsh Satija, et al. ∙ 6 ∙ share

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

Though generative dialogue modeling is widely seen as a language modelin...
08/24/2020 ∙ by Prasanna Parthasarathi, et al. ∙ 11 ∙ share

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

Multi-task reinforcement learning is a rich paradigm where information f...
07/14/2020 ∙ by Amy Zhang, et al. ∙ 16 ∙ share

read it
TDprop: Does Jacobi Preconditioning Help Temporal Difference Learning?

We investigate whether Jacobi preconditioning, accounting for the bootst...
07/06/2020 ∙ by Joshua Romoff, et al. ∙ 0 ∙ share

read it
Deep interpretability for GWAS

Genome-Wide Association Studies are typically conducted using linear mod...
07/03/2020 ∙ by Deepak Sharma, et al. ∙ 1 ∙ share

read it
Adversarial Soft Advantage Fitting: Imitation Learning without Policy Optimization

Adversarial imitation learning alternates between learning a discriminat...
06/23/2020 ∙ by Paul Barde, et al. ∙ 15 ∙ share

read it
Plan2Vec: Unsupervised Representation Learning by Latent Plans

In this paper we introduce plan2vec, an unsupervised representation lear...
05/07/2020 ∙ by Ge Yang, et al. ∙ 8 ∙ share

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

We present Korbit, a large-scale, open-domain, mixed-interface, dialogue...
05/06/2020 ∙ by Iulian Vlad Serban, et al. ∙ 1 ∙ share

read it
Automated Personalized Feedback Improves Learning Gains in an Intelligent Tutoring System

We investigate how automated, data-driven, personalized feedback in a la...
05/05/2020 ∙ by Ekaterina Kochmar, et al. ∙ 8 ∙ share

read it
Learning an Unreferenced Metric for Online Dialogue Evaluation

Evaluating the quality of a dialogue interaction between two agents is a...
05/01/2020 ∙ by Koustuv Sinha, et al. ∙ 0 ∙ share

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

One of the challenges in machine learning research is to ensure that pre...
03/27/2020 ∙ by Joelle Pineau, et al. ∙ 0 ∙ share

read it
Evaluating Logical Generalization in Graph Neural Networks

Recent research has highlighted the role of relational inductive biases ...
03/14/2020 ∙ by Koustuv Sinha, et al. ∙ 9 ∙ share

read it
Interference and Generalization in Temporal Difference Learning

We study the link between generalization and interference in temporal-di...
03/13/2020 ∙ by Emmanuel Bengio, et al. ∙ 7 ∙ share

read it
Invariant Causal Prediction for Block MDPs

Generalization across environments is critical to the successful applica...
03/12/2020 ∙ by Amy Zhang, et al. ∙ 2 ∙ share

read it
Stable Policy Optimization via Off-Policy Divergence Regularization

Trust Region Policy Optimization (TRPO) and Proximal Policy Optimization...
03/09/2020 ∙ by Ahmed Touati, et al. ∙ 6 ∙ share

read it
The importance of transparency and reproducibility in artificial intelligence research

In their study, McKinney et al. showed the high potential of artificial ...
02/28/2020 ∙ by Benjamin Haibe-Kains, et al. ∙ 0 ∙ share

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

Multi-agent adversarial inverse reinforcement learning (MA-AIRL) is a re...
02/24/2020 ∙ by Wonseok Jeon, et al. ∙ 0 ∙ share

read it
Provably efficient reconstruction of policy networks

Recent research has shown that learning poli-cies parametrized by large ...
02/07/2020 ∙ by Bogdan Mazoure, et al. ∙ 18 ∙ share

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

Accurate reporting of energy and carbon usage is essential for understan...
01/31/2020 ∙ by Peter Henderson, et al. ∙ 0 ∙ share

read it
Exploiting Spatial Invariance for Scalable Unsupervised Object Tracking

The ability to detect and track objects in the visual world is a crucial...
11/20/2019 ∙ by Eric Crawford, et al. ∙ 14 ∙ share

read it
Online Learned Continual Compression with Stacked Quantization Module

We introduce and study the problem of Online Continual Compression, wher...
11/19/2019 ∙ by Lucas Caccia, et al. ∙ 12 ∙ share

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

Effective network congestion control strategies are key to keeping the I...
10/09/2019 ∙ by Viswanath Sivakumar, et al. ∙ 16 ∙ share

read it
Benchmarking Batch Deep Reinforcement Learning Algorithms

Widely-used deep reinforcement learning algorithms have been shown to fa...
10/03/2019 ∙ by Scott Fujimoto, et al. ∙ 0 ∙ share

read it
Improving Sample Efficiency in Model-Free Reinforcement Learning from Images

Training an agent to solve control tasks directly from high-dimensional ...
10/02/2019 ∙ by Denis Yarats, et al. ∙ 18 ∙ share

read it
Attraction-Repulsion Actor-Critic for Continuous Control Reinforcement Learning

Continuous control tasks in reinforcement learning are important because...
09/17/2019 ∙ by Thang Doan, et al. ∙ 15 ∙ share

read it
No Press Diplomacy: Modeling Multi-Agent Gameplay

Diplomacy is a seven-player non-stochastic, non-cooperative game, where ...
09/04/2019 ∙ by Philip Paquette, et al. ∙ 4 ∙ share

read it
CLUTRR: A Diagnostic Benchmark for Inductive Reasoning from Text

The recent success of natural language understanding (NLU) systems has b...
08/16/2019 ∙ by Koustuv Sinha, et al. ∙ 1 ∙ share

read it
Learning Causal State Representations of Partially Observable Environments

Intelligent agents can cope with sensory-rich environments by learning t...
06/25/2019 ∙ by Amy Zhang, et al. ∙ 68 ∙ share

read it
Gossip-based Actor-Learner Architectures for Deep Reinforcement Learning

Multi-simulator training has contributed to the recent success of Deep R...
06/09/2019 ∙ by Mahmoud Assran, et al. ∙ 0 ∙ share

read it
Recurrent Value Functions

Despite recent successes in Reinforcement Learning, value-based methods ...
05/23/2019 ∙ by Pierre Thodoroff, et al. ∙ 0 ∙ share

read it
Leveraging exploration in off-policy algorithms via normalizing flows

Exploration is a crucial component for discovering approximately optimal...
05/16/2019 ∙ by Bogdan Mazoure, et al. ∙ 0 ∙ share

read it
On the Pitfalls of Measuring Emergent Communication

How do we know if communication is emerging in a multi-agent system? The...
03/12/2019 ∙ by Ryan Lowe, et al. ∙ 14 ∙ share

read it
Separating value functions across time-scales

In many finite horizon episodic reinforcement learning (RL) settings, it...
02/05/2019 ∙ by Joshua Romoff, et al. ∙ 0 ∙ share

read it
The Second Conversational Intelligence Challenge (ConvAI2)

We describe the setting and results of the ConvAI2 NeurIPS competition t...
01/31/2019 ∙ by Emily Dinan, et al. ∙ 2 ∙ share

read it
Deep Generative Modeling of LiDAR Data

Building models capable of generating structured output is a key challen...
12/04/2018 ∙ by Lucas Caccia, et al. ∙ 1 ∙ share

read it
An Introduction to Deep Reinforcement Learning

Deep reinforcement learning is the combination of reinforcement learning...
11/30/2018 ∙ by Vincent Francois-Lavet, et al. ∙ 28 ∙ share

read it
Natural Environment Benchmarks for Reinforcement Learning

While current benchmark reinforcement learning (RL) tasks have been usef...
11/14/2018 ∙ by Amy Zhang, et al. ∙ 6 ∙ share

read it
Compositional Language Understanding with Text-based Relational Reasoning

Neural networks for natural language reasoning have largely focused on e...
11/07/2018 ∙ by Koustuv Sinha, et al. ∙ 0 ∙ share

read it
The RLLChatbot: a solution to the ConvAI Challenge

Current conversational systems can follow simple commands and answer bas...
11/07/2018 ∙ by Nicolas A. Gontier, et al. ∙ 0 ∙ share

read it
Language GANs Falling Short

Generating high-quality text with sufficient diversity is essential for ...
11/06/2018 ∙ by Massimo Caccia, et al. ∙ 1 ∙ share

read it

Joelle Pineau

Featured Co-authors