ArXiv TLDR

Remi Munos

4 papers · Latest:

Machine Learning

Bandits attack function optimization

This paper introduces Simultaneous Optimistic Optimization (SOO), a bandit-inspired algorithm for efficient function optimization under budget constraints.

2605.03496
Statistical Machine Learning

Spectral bandits

This paper introduces "spectral bandits," an online learning framework for graph-based problems like recommendations, using smooth payoffs and effective dimension.

2604.25272
Machine Learning

Planning in entropy-regularized Markov decision processes and games

SmoothCruiser is a new planning algorithm for entropy-regularized MDPs and games, achieving O~(1/epsilon^4) sample complexity.

2604.19695
Machine Learning

Spectral Thompson sampling

SpectralTS efficiently solves graph bandit problems by leveraging an effective dimension, achieving comparable regret with improved computational performance.

2604.13739

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