Several multiagent reinforcement learning (MARL) algorithms have been proposed to optimize agents' decisions. Due to the complexity of the problem, the majority of the previo...
As computer controlled entities are set to move and explore more complex environments they need to be able to perform navigation tasks, like finding minimal cost routes. Much wor...
Microeconomics offer a far developed theory on the subject of rational choice. This theory is applied to a multi-agent system, which has been modeled in order to establish schedul...
Abstract. Our research team is developing a computer construction game called VirtualPrismaker based on the physical game Prismakertm . We have had to deal with all typical and ess...
Sketchy planners are designed to achieve goals in realistically complex, time-pressured, and uncertain task environments. However, the ability to manage multiple, potentially inte...