<ul><li>This work focuses on generating balanced levels tailored to asymmetric player archetypes in games.</li><li>The goal is to balance the disparity in abilities through the level design.</li><li>A method using reinforcement learning is used to balance tile-based game levels.</li><li>The evaluation shows that the method can balance a larger proportion of levels compared to two baseline approaches.</li></ul>

Level the Level: Balancing Game Levels for Asymmetric Player Archetypes With Reinforcement Learning

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