UBCL: A Reinforcement Learning Framework for Controllable and Diverse Player Behaviors

Atahan Cilan, Atay Özgövde

This paper introduces a reinforcement learning framework that enables controllable and diverse player behaviors without relying on human gameplay data. Existing approaches often re…