Hierarchical Multi-Agent Reinforcement Learning Method Using Energy Field in Sports Games
This paper proposes an energy-field-based hierarchical multi-agent reinforcement learning method (HES-COMA) for evaluating individual agent contributions and learning efficient policies in dynamic and complex multi-agent environments such as sports games. The proposed method addresses the limitation...
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| Автори: | , , , , |
|---|---|
| Формат: | Artigo |
| Мова: | Inglês |
| Опубліковано: |
IEEE
2025-01-01
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| Серія: | IEEE Access |
| Предмети: | |
| Онлайн доступ: | https://ieeexplore.ieee.org/document/11176067/ |
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