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Although multi-agent reinforcement learning (MARL) is a promising method for learning a collaborative action policy. enabling each agent to accomplish specified tasks. MARL has a problem of exponentially increasing state-action space. This state-action space can be dramatically reduced by assuming sparse interaction. https://www.diegojavierfares.com/mega-offer-Classic-Premier-Navy-Drapery-Fabric-by-Premier-Prints-30-Yard-Bolt-super-offer/

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