In fact, the interaction of these two aspects requires addressing the fact that each agent's own safety constraint requires information from all others.
Theempirical results demonstrate that this framework can improve the answers for multi-agent decision-making problems by showing superior performance on the training and unseen tasks of the StarCraft Multi-Agent Challenge benchmark.