Before revision:  Last, we introduce a method by which an agent simulates all feasible actions  and learns about these experiences to utilize the training dataefficiently .
After revision:  Last, we introduce a method by which an agent simulates all feasible actions in each state and learns about these experiences to utilize the training dataefficiently .