SMAC Plus

SMAC Plus is an advanced task framework based on multi-agent reinforcement learning, designed to achieve the effective completion of complex multi-stage tasks through collaborative optimization of strategies for multiple agents. This framework further expands the potential of multi-agent systems in practical application scenarios, especially in environments that require high levels of collaboration and dynamic decision-making, such as smart manufacturing, intelligent transportation, and distributed computing. By optimizing interactions and cooperation among agents, SMAC Plus significantly improves task execution efficiency and overall system performance.