I read a paper [1] about visualizing the Deep Q-Network used for playing Atari games. They map to 2D the game state and then colorize it by the Q scores. As a result they could visualize the strategy and observe how it is hierarchically organized in clusters containing sub-clusters. They could show regions associated with initial and termination rules. This method can be used to map out a game strategy and to focus on specific regions.<p>[1] Graying the black box: Understanding DQNs -  <a href="https:&#x2F;&#x2F;arxiv.org&#x2F;pdf&#x2F;1602.02658.pdf" rel="nofollow">https:&#x2F;&#x2F;arxiv.org&#x2F;pdf&#x2F;1602.02658.pdf</a>