A reinforcement-learning pipeline for predicting macro-actions in Honor of Kings improves action prediction accuracy, but the method is imitation of human replay labels, not the claimed environmental interaction.
Training interactive agent in large fps game map with rule-enhanced reinforcement learning
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Think in Games: Learning to Reason in Games via Reinforcement Learning with Large Language Models
A reinforcement-learning pipeline for predicting macro-actions in Honor of Kings improves action prediction accuracy, but the method is imitation of human replay labels, not the claimed environmental interaction.