{"ID":2886089,"CreatedAt":"2026-06-01T04:54:23.091178241Z","UpdatedAt":"2026-06-01T04:54:23.091178241Z","DeletedAt":null,"paper_url":"https://arxiv.org/abs/2508.16580","arxiv_id":"2508.16580","title":"Adaptive Command: Real-Time Policy Adjustment via Language Models in StarCraft II","abstract":"We present Adaptive Command, a novel framework integrating large language models (LLMs) with behavior trees for real-time strategic decision-making in StarCraft II. Our system focuses on enhancing human-AI collaboration in complex, dynamic environments through natural language interactions. The framework comprises: (1) an LLM-based strategic advisor, (2) a behavior tree for action execution, and (3) a natural language interface with speech capabilities. User studies demonstrate significant improvements in player decision-making and strategic adaptability, particularly benefiting novice players and those with disabilities. This work contributes to the field of real-time human-AI collaborative decision-making, offering insights applicable beyond RTS games to various complex decision-making scenarios.","short_abstract":"We present Adaptive Command, a novel framework integrating large language models (LLMs) with behavior trees for real-time strategic decision-making in StarCraft II. Our system focuses on enhancing human-AI collaboration in complex, dynamic environments through natural language interactions. The framework comprises: (1)...","url_abs":"https://arxiv.org/abs/2508.16580","url_pdf":"https://arxiv.org/pdf/2508.16580v2","authors":"[\"Weiyu Ma\",\"Dongyu Xu\",\"Shu Lin\",\"Haifeng Zhang\",\"Jun Wang\"]","published":"2025-08-05T03:26:58Z","proceeding":"cs.HC","tasks":"[\"cs.HC\",\"cs.AI\"]","methods":"[\"Large Language Model\",\"Language Model\"]","has_code":false}