Task: Language Identification
Input (Spanish, English): The following statement best summarizes the contribution: "This paper shows that model free RL methods can learn how to gather information about physical properties of objects, even when this information is not available to a passive observer, and use this information to make decisions." So this is not a paper about new theory or algorithms, but rather about solving the problem of acquiring knowledge about the physics of the world around us, which is important for many problems and helps explain human performance in many tasks. There are still some concerns about the depth-of-analysis of the paper, but on balance, it is seen as an unconventional but interesting paper. As per AnonReviewer6, the final version could still aim to better address "What should other researchers focus on if they are trying to build agents that can understand physics intuitively (building off this work)?"  -- Area chair
Output (English): en