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...
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2010
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| Online Access: | http://bspace.buid.ac.ae/handle/1234/42 |
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