this article introduces the notions of functional space and concept as a way of knowledge representation and abstraction for reinforcement learning agents. these definitions are used as a tool of knowledge transfer among agents. the agents are assumed to be heterogeneous; they have different state spaces but share a same dynamic, reward and action space. in other words, the agents are assumed t...

In this work we introduce and study a pursuit-evasion game in which the search is performed by heterogeneous entities. We incorporate heterogeneity into classical edge problem considering edge-labeled graphs: once strategy initially assigns labels to searchers, each searcher can be only present on an of its own label. prove that not monotone even for trees give instances number recontamination ...