Gabriel Dulac-Arnold

According to our database¹, Gabriel Dulac-Arnold authored at least 30 papers between 2011 and 2023.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of three.

Timeline

Legend:

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In proceedings

Article

PhD thesis

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Other

Links

On csauthors.net:

Bibliography

2023

RoboVQA: Multimodal Long-Horizon Reasoning for Robotics.

[BibT_eX]

[DOI]

CoRR, 2023

Barkour: Benchmarking Animal-level Agility with Quadruped Robots.

[BibT_eX]

[DOI]

CoRR, 2023

Get Back Here: Robust Imitation by Return-to-Distribution Planning.

[BibT_eX]

[DOI]

CoRR, 2023

Learning Reward Functions for Robotic Manipulation by Observing Humans.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Investigating the Role of Model-Based Learning in Exploration and Transfer.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

2022

C3PO: Learning to Achieve Arbitrary Goals via Massively Entropic Pretraining.

[BibT_eX]

[DOI]

CoRR, 2022

2021

A Metric Space Perspective on Self-Supervised Policy Adaptation.

[BibT_eX]

[DOI]

IEEE Robotics Autom. Lett., 2021

Challenges of real-world reinforcement learning: definitions, benchmarks and analysis.

[BibT_eX]

[DOI]

Mach. Learn., 2021

Learning Dynamics Models for Model Predictive Agents.

[BibT_eX]

[DOI]

CoRR, 2021

Residual Reinforcement Learning from Demonstrations.

[BibT_eX]

[DOI]

CoRR, 2021

Model-Based Offline Planning.

[BibT_eX]

[DOI]

Arthur Argenson

Gabriel Dulac-Arnold

Proceedings of the 9th International Conference on Learning Representations, 2021

2020

A Geometric Perspective on Self-Supervised Policy Adaptation.

[BibT_eX]

[DOI]

CoRR, 2020

RL Unplugged: Benchmarks for Offline Reinforcement Learning.

[BibT_eX]

[DOI]

Sergio Gómez Colmenarejo

CoRR, 2020

An empirical investigation of the challenges of real-world reinforcement learning.

[BibT_eX]

[DOI]

CoRR, 2020

Learning to run a Power Network Challenge: a Retrospective Analysis.

[BibT_eX]

[DOI]

Proceedings of the NeurIPS 2020 Competition and Demonstration Track, 2020

RL Unplugged: A Collection of Benchmarks for Offline Reinforcement Learning.

[BibT_eX]

[DOI]

Sergio Gómez Colmenarejo

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019

Differentiable Deep Clustering with Cluster Size Constraints.

[BibT_eX]

[DOI]

Aude Genevay

Gabriel Dulac-Arnold

Jean-Philippe Vert

CoRR, 2019

Deep multi-class learning from label proportions.

[BibT_eX]

[DOI]

CoRR, 2019

Challenges of Real-World Reinforcement Learning.

[BibT_eX]

[DOI]

Gabriel Dulac-Arnold

Daniel J. Mankowitz

Todd Hester

CoRR, 2019

2018

Deep Q-learning From Demonstrations.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Learning from Demonstrations for Real World Reinforcement Learning.

[BibT_eX]

[DOI]

CoRR, 2017

The Predictron: End-To-End Learning and Planning.

[BibT_eX]

[DOI]

Proceedings of the 34th International Conference on Machine Learning, 2017

2015

Deep Reinforcement Learning with Attention for Slate Markov Decision Processes with High-Dimensional States and Actions.

[BibT_eX]

[DOI]

CoRR, 2015

Reinforcement Learning in Large Discrete Action Spaces.

[BibT_eX]

[DOI]

CoRR, 2015

2014

Sequentially Generated Instance-Dependent Image Representations for Classification.

[BibT_eX]

[DOI]

Proceedings of the 2nd International Conference on Learning Representations, 2014

2012

Sequential approaches for learning datum-wise sparse representations.

[BibT_eX]

[DOI]

Mach. Learn., 2012

Fast Reinforcement Learning with Large Action Sets Using Error-Correcting Output Codes for MDP Factorization.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2012

Lecture Séquentielle de Documents pour la Classification.

[BibT_eX]

[DOI]

Gabriel Dulac-Arnold

Ludovic Denoyer

Patrick Gallinari

Proceedings of the CORIA (Conférence en Recherche d'Infomations et Applications), 2012

2011

Datum-Wise Classification: A Sequential Approach to Sparsity.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2011

Text Classification: A Sequential Reading Approach.

[BibT_eX]

[DOI]

Gabriel Dulac-Arnold

Ludovic Denoyer

Patrick Gallinari

Proceedings of the Advances in Information Retrieval, 2011

Gabriel Dulac-Arnold

Timeline

Legend:

Links

On csauthors.net:

Bibliography

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