What makes humans so good at solving seemingly complex video games? Unlike computers, humans bring in a great deal of prior knowledge about the world, enabling efficient decision making. This paper investigates the role of human priors for solving video games. Given a sample game, we conduct a series of ablation studies to quantify the importance of various priors on human performance. We do this by modifying the video game environment to systematically mask different types of visual information that could be used by humans as priors. We find that removal of some prior knowledge causes a drastic degradation in the speed with which human players solve the game, e.g. from 2 minutes to over 20 minutes. Furthermore, our results indicate that general priors, such as the importance of objects and visual consistency, are critical for efficient game-play. Videos and the game manipulations are available at https://rach0012.github.io/humanRL_website/

本文研究了人类先验知识在解决电子游戏中的作用，通过修改游戏环境系统地掩盖不同类型的视觉信息来量化各种先验知识对人类表现的重要性，结果表明某些先验知识的去除会导致人类玩家解决游戏速度的显著降低，而一般的先验知识对于有效的游戏玩法至关重要。

研究人类先验知识在玩电子游戏中的作用