AINeutralarXiv – CS AI · Jun 255/10
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Multi-Agent Goal Recognition with Team- and Goal-Conditioned Reinforcement Learning and Factorized Branch-and-Bound
Researchers introduce MAGR-BB, a novel algorithm that identifies which agents work together and what goals they pursue by analyzing trajectory data alone. The method uses branch-and-bound search with a shared policy model, achieving order-of-magnitude improvements in efficiency while maintaining accuracy comparable to exhaustive search.