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...
Сохранить в:
| Главные авторы: | , , , , |
|---|---|
| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
IEEE
2025-01-01
|
| Серии: | IEEE Access |
| Предметы: | |
| Online-ссылка: | https://ieeexplore.ieee.org/document/11176067/ |
| Метки: |
Нет меток, Требуется 1-ая метка записи!
|