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://jalyttlers.shop/product-category/round-eco-ovenglass-container/