2 papers
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…
cs.NI2025
Fast Multichannel Topology Discovery in Cognitive Radio Networks
Yung-Li Wang, Yiwei Liu, Cheng-Shang Chang
In Cognitive Radio Networks (CRNs), secondary users (SUs) must efficiently discover each other across multiple communication channels while avoiding interference from primary users…