Surviving High Uncertainty in Logistics with MARL

# Surviving High Uncertainty in Logistics with MARL Companies managing supply chains and delivery networks face constant unpredictability—weather delays, sudden demand spikes, equipment breakdowns—and traditional rigid planning systems struggle to adapt. This article explores how AI agents can be trained to work together and handle these shifting conditions without needing to be reprogrammed for each new situation. The practical takeaway: smarter, more flexible logistics systems that automatically adjust to real-world chaos instead of breaking down when conditions change.