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STRATA: Self-Learning Through Role-Aligned Tiered Agents for Real-Time Strategy Games
Real-time strategy (RTS) games require agents to coordinate economic development, production and construction, base defense, unit organization, and attack timing over long matches. Existing studies have applied large language models to command decision-making in RTS games, enabling agents to read te
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