most citedContrasting local and global modeling with machine learning and satellite data: A case study estimating tree canopy height in African savannas

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cs.MA2024

Combining Diverse Information for Coordinated Action: Stochastic Bandit Algorithms for Heterogeneous Agents

Lucia Gordon, Esther Rolf, Milind Tambe

Stochastic multi-agent multi-armed bandits typically assume that the rewards from each arm follow a fixed distribution, regardless of which agent pulls the arm. However, in many re…