Reinforcement learning can provide a robust and natural means for agents to learn how to coordinate their action choices in multiagent systems. We examine some of the factors that...
Deliberation dialogues occur when two or more participants seek to jointly agree an action or a course of action in some situation. We present the first formal framework for such...
A subgame perfection refinement of Nash equilibrium is suggested for games of the following type: each of an infinite number of identical players selects an action using his privat...
We describe a system that successfully transfers value function knowledge across multiple subdomains of realtime strategy games in the context of multiagent reinforcement learning....
Based on a revision of the common task understanding in model-based approaches a formal meta model is proposed which allows more expressive task descriptions. A task is considered ...