11 citations · 11 across the 8 of their papers we have counts for
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cs.MA2024
ROMA-iQSS: An Objective Alignment Approach via State-Based Value Learning and ROund-Robin Multi-Agent Scheduling
Chi-Hui Lin, Joewie J. Koh, Alessandro Roncone +1
Effective multi-agent collaboration is imperative for solving complex, distributed problems. In this context, two key challenges must be addressed: first, autonomously identifying…
cs.LG2024
Incentivized Exploration of Non-Stationary Stochastic Bandits
Sourav Chakraborty, Lijun Chen
We study incentivized exploration for the multi-armed bandit (MAB) problem with non-stationary reward distributions, where players receive compensation for exploring arms other tha…