Median Win Rate: 94.03Average Score: 20.94
Papers with Code · CC BY-SA 4.0
SMAC
The StarCraft Multi-Agent Challenge (SMAC) is a benchmark that provides elements of partial observability, challenging dynamics, and high-dimensional observation spaces. SMAC is built using the StarCraft II game engine, creating a testbed for research in cooperative MARL where each game unit is an independent RL agent.
논문
Median Win Rate: 90.62Average Score: 20.27
Median Win Rate: 2
Median Win Rate: 100
Median Win Rate: 2