In this work, we formulate the choice of when to ask what questions during interaction as a sequential decisionmaking problem and apply reinforcement learning to acquire an optimal policy to manage interaction.
each of the execution and learning phases is governed by one policy (i.e., θ E and θ D ), which is updated by the reinforcement learning algorithm.