Gabriel Dulac-Arnold

发表

Learning from Demonstrations for Real World Reinforcement Learning pdf

Tom Schaul, Andrew Sendonaris, Joel Z. Leibo, 2017, ArXiv.

RL Unplugged: A Suite of Benchmarks for Ofﬂine Reinforcement Learning

Sergio Gomez Colmenarejo, Matthew W. Hoffman, Nando de Freitas, 2020 .

RL Unplugged: Benchmarks for Offline Reinforcement Learning

Sergio Gomez Colmenarejo, Matthew W. Hoffman, T. Paine, 2020, ArXiv.

Sujet : Learning with Relational Data : Sequential Models and Propagation Models for Structured Classification and Labeling

Gabriel Dulac-Arnold, Ludovic Denoyer, Francis Maes, 2012 .

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

Patrick Gallinari, Gabriel Dulac-Arnold, Philippe Preux, 2012, ECML/PKDD.

RL Unplugged: A Collection of Benchmarks for Offline Reinforcement Learning

Sergio Gomez Colmenarejo, Nando de Freitas, Alexander Novikov, 2020, NeurIPS.

The first AI-based mobile application for antibiotic resistance testing

Christophe Ambroise, Jean-Philippe Vert, Gabriel Dulac-Arnold, 2020, bioRxiv.

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

D. Mankowitz, Cosmin Paduraru, Todd Hester, 2020, ArXiv.

M ODEL -B ASED O FFLINE P LANNING

Gabriel Dulac-Arnold, Offline Planning, Arthur Argenson, 2021 .

Learning Reward Functions for Robotic Manipulation by Observing Humans

J. Ponce, C. Schmid, J. Mairal, 2022, 2211.09019.

Learning to run a Power Network Challenge: a Retrospective Analysis

Gabriel Dulac-Arnold, Antoine Marot, Benjamin Donnot, 2021, NeurIPS.

C3PO: Learning to Achieve Arbitrary Goals via Massively Entropic Pretraining

O. Pietquin, M. Geist, Gabriel Dulac-Arnold, 2022, ArXiv.

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

Nir Levine, Gabriel Dulac-Arnold, Sven Gowal, 2021, Machine Learning.

Differentiable Deep Clustering with Cluster Size Constraints pdf

Jean-Philippe Vert, Aude Genevay, Gabriel Dulac-Arnold, 2019, ArXiv.

Sequential approaches for learning datum-wise sparse representations

Patrick Gallinari, Gabriel Dulac-Arnold, Philippe Preux, 2012, Machine Learning.

Deep Q-learning From Demonstrations

Tom Schaul, Andrew Sendonaris, Joel Z. Leibo, 2017, AAAI.

AI-based mobile application to fight antibiotic resistance

Jean-Philippe Vert, Gabriel Dulac-Arnold, C. Ambroise, 2021, Nature Communications.

Learning Reward Functions for Robotic Manipulation by Observing Humans

J. Ponce, C. Schmid, J. Mairal, 2022, ArXiv.

Model-Based Offline Planning

Gabriel Dulac-Arnold, Arthur Argenson, 2020, ICLR.

Learning Dynamics Models for Model Predictive Agents pdf

Yuval Tassa, Gabriel Dulac-Arnold, Nicolas Heess, 2021, ArXiv.

Challenges of Real-World Reinforcement Learning pdf

Gabriel Dulac-Arnold, Todd Hester, Daniel J. Mankowitz, 2019, ArXiv.

Investigating the role of model-based learning in exploration and transfer

Jessica B. Hamrick, T. Weber, Yazhe Li, 2023, ICML.

A Metric Space Perspective on Self-Supervised Policy Adaptation

Karol Hausman, Gabriel Dulac-Arnold, Rico Jonschkowski, 2021, IEEE Robotics and Automation Letters.

A Geometric Perspective on Self-Supervised Policy Adaptation pdf

Karol Hausman, Gabriel Dulac-Arnold, Rico Jonschkowski, 2020, ArXiv.

Deep Reinforcement Learning in Large Discrete Action Spaces

Richard Evans, Peter Sunehag, Timothy A. Mann, 2015, 1512.07679.

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

Peter Sunehag, Gabriel Dulac-Arnold, Yori Zwols, 2015, ArXiv.

Reinforcement Learning in Large Discrete Action Spaces pdf

Peter Sunehag, Gabriel Dulac-Arnold, Richard Evans, 2015, ArXiv.

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

Tom Schaul, David Silver, Matteo Hessel, 2016, ICML.

On the importance of data collection for training general goal-reaching policies

O. Pietquin, M. Geist, Gabriel Dulac-Arnold, 2022, 2211.03521.

L2RPN: Learning to Run a Power Network in a Sustainable World NeurIPS2020 challenge design

Gabriel Dulac-Arnold, Antoine Marot, Benjamin Donnot, 2020 .

Barkour: Benchmarking Animal-level Agility with Quadruped Robots

Vincent Vanhoucke, R. Hadsell, N. Heess, 2023, ArXiv.

Deep multi-class learning from label proportions pdf

Lucas Beyer, Jean-Philippe Vert, Marco Cuturi, 2019, ArXiv.

Residual Reinforcement Learning from Demonstrations pdf

Cordelia Schmid, Jean Ponce, Julien Mairal, 2021, ArXiv.

Datum-Wise Classification: A Sequential Approach to Sparsity pdf

Ludovic Denoyer, Patrick Gallinari, Gabriel Dulac-Arnold, 2011, ECML/PKDD.

RoboVQA: Multimodal Long-Horizon Reasoning for Robotics

Pannag R. Sanketi, Karol Hausman, Yuan Cao, 2023, ArXiv.