Multi-Agent Learning under Uncertainty: Recurrence vs. Concentration

NeurIPSSpotlight2025

Authors
Kyriakos Lotidis, Panayotis Mertikopoulos, Nicholas Bambos, Jose Blanchet
Venue
NeurIPS 2025
Track
Spotlight

TL;DR

In this paper, we examine the convergence landscape of multi-agent learning under uncertainty…

Opening excerpt from the authors’ abstract. source

Read the paper

Topics

convergence uncertainty agent

← All NeurIPS 2025 Spotlight papers · Browse the whole archive