Level Generator

Level generators are computational tools that automatically create game levels, aiming to reduce development costs and enhance game diversity. Current research focuses on improving controllability, scalability, and the generation of complex structures using various approaches, including reinforcement learning (often with GFlowNets), hierarchical composition of simpler generators, and evolutionary algorithms like MAP-Elites and neuroevolution. These advancements are significant because they enable the creation of more diverse, playable levels for a wider range of game genres and complexities, potentially revolutionizing game development workflows.