Reflection-Augmented Strategy Generation via In-Game Triggering in Large Language Models
While large language models (LLMs) have made notable progress in strategy generation and task planning, they still struggle to promptly detect tactical imbalances and revise strategies dynamically in complex multi-agent environments such as StarCraft II. To address this, we propose Reflection-Augmented Strategy Generat...