An evolutionary model of multi-agent learning with a varying exploration rate
Michael Kaisers, Karl Tuyls, Simon Parsons, Frank Thuijsman · 2009
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.