Author

Atahan Cilan

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#machine learning Open access Dec 2025

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

A reinforcement learning framework that enables controllable and diverse player behaviors without relying on human gameplay data and offers a scalable solution for automated playtesting, game balancing, human-like behavior simulation, and replacing disconnected players in online games.

Atahan Cilan, Atay Özgövde · IEEE Transactions on Games · 1 citation