BuilderBench: The Building Blocks of Intelligent Agents

ArXi:2510.06288v2 Announce Type: replace Today's AI models learn primarily through mimicry and refining, so it is not surprising that they struggle to solve problems beyond the limits set by existing data. To solve novel problems, agents should acquire skills for exploring and learning through experience. Finding a scalable learning mechanism for developing agents that that centers open-ended exploration. BuilderBench requires agents to learn how to build any structure using blocks.