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Xingxing Hong

1 paper hereh-index 16 citations3 works total

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  • cs.AI1

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1 paper

cs.AI2025

HLSMAC: A New StarCraft Multi-Agent Challenge for High-Level Strategic Decision-Making

Xingxing Hong, Yungong Wang, Dexin Jin +4

Benchmarks are crucial for assessing multi-agent reinforcement learning (MARL) algorithms. While StarCraft II-related environments have driven significant advances in MARL, existin…

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