Experimental evaluation of multi-agent reinforcement learning in real-world scale-free networks
Multi-agent reinforcement learning is a common method for optimizing agents' local decision in a distributed and scalable manner. However, the study and analysis of the state-of-the-art multi-agent reinforcement learning (MARL) algorithms have been limited to small problems involving few number...
محفوظ في:
| المؤلف الرئيسي: | |
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| منشور في: |
2010
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| الموضوعات: | |
| الوصول للمادة أونلاين: | http://bspace.buid.ac.ae/handle/1234/42 |
| الوسوم: |
إضافة وسم
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