Munos, Rémi

Bootstrap Your Own Latent: A New Approach to Self-Supervised Learning

Grill, J.-B., Strub, F., Altché, F., Tallec, C., Richemond, P. H., Buchatskaya, E., Doersch, C., Pires, B. A., Guo, Z. D., Azar, M. G., et al. (2020) · arXiv

Domain Adaptation and Few-Shot LearningAdvanced Neural Network Applications

Cited by 3,846

Distributional Reinforcement Learning With Quantile Regression

Dabney, W., Rowland, M., Bellemare, M., & Munos, R. (2018) · Proceedings of the AAAI Conference on Artificial Intelligence

Reinforcement Learning in RoboticsArtificial Intelligence in Games

Cited by 612

Implicit Quantile Networks for Distributional Reinforcement Learning

Dabney, W., Ostrovski, G., Silver, D., & Munos, R. (2018) · arXiv

Reinforcement Learning in RoboticsArtificial Intelligence in Games

Cited by 331

The Cramer Distance as a Solution to Biased Wasserstein Gradients

Bellemare, M. G., Danihelka, I., Dabney, W., Mohamed, S., Lakshminarayanan, B., Hoyer, S., & Munos, R. (2017) · arXiv

Generative Adversarial Networks and Image SynthesisGeometric Analysis and Curvature Flows

Cited by 223

Minimax Regret Bounds for Reinforcement Learning

Azar, M. G., Osband, I., & Munos, R. (2017) · arXiv

Reinforcement Learning in RoboticsAdvanced Bandit Algorithms Research

Cited by 124

Observational Learning by Reinforcement Learning

Borsa, D., Piot, B., Munos, R., & Pietquin, O. (2017) · arXiv

Reinforcement Learning in RoboticsChild and Animal Learning Development

Cited by 47

A General Theoretical Paradigm to Understand Learning from Human Preferences

Azar, M. G., Rowland, M., Piot, B., Guo, D., Calandriello, D., Valko, M., & Munos, R. (2023) · arXiv

Reinforcement Learning in RoboticsMachine Learning and Algorithms

Cited by 21

BYOL-Explore: Exploration by Bootstrapped Prediction

Guo, Z. D., Thakoor, S., Pîslar, M., Pires, B. A., Altché, F., Tallec, C., Saade, A., Calandriello, D., Grill, J.-B., Tang, Y., et al. (2022) · arXiv

Reinforcement Learning in RoboticsDomain Adaptation and Few-Shot Learning

Cited by 12

Generalised Policy Improvement with Geometric Policy Composition

Thakoor, S., Rowland, M., Borsa, D., Dabney, W., Munos, R., & Barreto, A. (2022) · arXiv

Reinforcement Learning in RoboticsAdaptive Dynamic Programming Control

Cited by 5