20201001-DOLA

<strong>Agent adapt ontologies to agree on decision taking</strong> Date: <strong>20201001</strong> (<strong>Yasser Bourahla</strong>) <strong>5</strong> runs; <strong>40000</strong> games Hypothesis: <strong>['here there is no hypotheses, the goal is to situate how much agents improve compared to AMAIL']</strong> Variation of: <strong>20200623-DOLA</strong> Environment: <strong>../input/zoology</strong> test set proportion: <strong>0.1</strong> Experimental setting: <strong>Agents learn decision trees (transformed into ontologies); get income from environment; adapt by splitting their leaf nodes; environment generated from dataset</strong> <br> link: http://sake.re/20201001-DOLA