| Budget Amount *help |
¥17,160,000 (Direct Cost: ¥13,200,000、Indirect Cost: ¥3,960,000)
Fiscal Year 2023: ¥4,290,000 (Direct Cost: ¥3,300,000、Indirect Cost: ¥990,000)
Fiscal Year 2022: ¥5,070,000 (Direct Cost: ¥3,900,000、Indirect Cost: ¥1,170,000)
Fiscal Year 2021: ¥4,420,000 (Direct Cost: ¥3,400,000、Indirect Cost: ¥1,020,000)
Fiscal Year 2020: ¥3,380,000 (Direct Cost: ¥2,600,000、Indirect Cost: ¥780,000)
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| Outline of Final Research Achievements |
In this study, we have been developed methods for learning appropriate cooperative and coordinated behaviors in a multi-agent system consisting of multiple agents that make decisions autonomously, either organizationally or from the perspective of group behaviors. Specifically, we proposed (1) methods for learning to act while dynamically observing the movements of its neighboring agents in tasks that requires multi-step cooperative actions, and (2) learning methods for determining its own cooperative and coordinated behavior based on its internal estimation of the neighbors' behaviors. Furthermore, we also pursued (3) techniques for identifying the objects that the agent is focusing on in their observations to confirm the validity of the selected cooperative and coordinated behaviors for improving the explainability. We believe that our results have been well received academically, with presentations at top-level international conferences in the field.
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