AI RESEARCH
TowerMind: A Tower Defence Game Learning Environment and Benchmark for LLM as Agents
arXiv CS.AI
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ArXi:2601.05899v2 Announce Type: replace Recent breakthroughs in Large Language Models (LLMs) have positioned them as a promising paradigm for agents, with long-term planning and decision-making emerging as core general-purpose capabilities for adapting to diverse scenarios and tasks. Real-time strategy (RTS) games serve as an ideal testbed for evaluating these two capabilities, as their inherent gameplay requires both macro-level strategic planning and micro-level tactical adaptation and action execution.