StarCraft II

StarCraft II, a complex real-time strategy game, serves as a challenging benchmark for artificial intelligence research, particularly in multi-agent reinforcement learning and large language model applications. Current research focuses on developing agents capable of both strategic macro-management (high-level planning) and precise micro-management (unit control), employing architectures such as transformers, vision transformers, and hierarchical reinforcement learning models. These advancements contribute to a deeper understanding of multi-agent cooperation, efficient learning in high-dimensional spaces, and the potential of LLMs for complex decision-making tasks, with implications for fields beyond gaming, such as robotics and autonomous systems.