New algorithm makes it easier for computers to solve decision making problems
E-Mail IMAGE: Computation cost of multiagent problems can be greatly reduced using an agent-by-agent PI approach view more Credit: IEEE/CAA Journal of Automatica Sinica Computer scientists often encounter problems relevant to real-life scenarios. For instance, "multiagent problems," a category characterized by multi-stage decision-making by multiple decision makers or "agents," has relevant applications in search-and-rescue missions, firefighting, and emergency response. Multiagent problems are often solved using a machine learning technique known as "reinforcement learning" (RL)...