text: This paper investigates human priors for playing video games. Considering a simple video game, where an agent receives a reward when she completes a game board, this paper starts by stating that: -	Firstly, the humans perform better than an RL agent to complete the game board. -	Secondly, with a simple modification of textures the performances of human players collapse, while those of a RL agent stay the same. If I have no doubts about these results, I have a concern about the method.  In the case of human players the time needed to complete the game is plotted,  and in the case of a RL agent the number of steps needed to complete the game is plotted (fig 1).  Formally, we cannot conclude that one minute is lesser than 4 million of steps. This issue could be easily fixed.  Unfortunately, I have other concerns about the method and the conclusions. For instance, masking where objects are or suppressing visual similarity between similar objects should also deteriorate the performance of a RL agent.  So it cannot be concluded that the change of performances is due to human priors.  In these cases, I think that the change of performances is due to the increased difficulty of the game. The authors have to include RL agent in all their experiments to be able to dissociate what is due to human priors and what is due to the noise introduced in the game.