Hierarchical Learning Automata Without a Shared Reinforcement Signal: Recovering the Environment Response From Action-Probability Changes

A hierarchy of learning automata in the sense of Thathachar and Ramakrishnan activates one root-to-leaf path per round, and every automaton on that path updates from the environment response. Analyses of this hierarchy deliver the response to every level. In many deployed hierarchies only the root o