Agents learn to navigate dungeons but struggle to match human players' depth of understanding and exploration. While traditional scoring metrics can drive erratic behavior, fostering intrinsic motivation, akin to human curiosity, may lead to more effective learning. Ultimately, the goal is to develop agents that reward themselves for uncovering new knowledge about their environment rather than merely achieving game objectives.
