GLOSSARY TERM
What is Multi-Agent Reinforcement Learning?
A field where multiple autonomous agents interact and learn in a shared environment.
MARL involves complex dynamics where agents must learn to collaborate or compete to maximize individual or global rewards. It is foundational for robotic fleet coordination, traffic routing, and complex game theory simulations.
Coordinate Complex Systems
Simulate and optimize multi-agent dynamics for operational logistics.