论文信息 - An evolutionary model of multi-agent learning with a varying exploration rate

An evolutionary model of multi-agent learning with a varying exploration rate

Multi-agent learning is a challenging problem and has recently attracted increased attention by the research community [4, 5]. It promises control over complex multi-agent systems such that agents enact a global desired behavior while operating on local knowledge.

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