Comparative evaluation of five MAL algorithms in ad hoc teams of continuously adapting heterogeneous agents across repeated matrix games finds no clear winner but identifies relative strengths on different performance criteria.
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Comparative Evaluation of Multiagent Learning Algorithms in a Diverse Set of Ad Hoc Team Problems
Comparative evaluation of five MAL algorithms in ad hoc teams of continuously adapting heterogeneous agents across repeated matrix games finds no clear winner but identifies relative strengths on different performance criteria.