We consider the setting of multiple collaborative agents trying to complete a set of tasks as assigned by a centralized controller. We propose a scalable method called“Assignmen...
This paper proposes the β-WoLF algorithm for multiagent reinforcement learning (MARL) in the stochastic games framework that uses an additional “advice” signal to inform agen...
We present an inspectable learner model to prompt noticing in language learning, considering interaction preferences. Four patterns of model inspection were seen, but most students...
Abstract. There are many domains in which a multi-agent system needs to maximize a "system utility" function which rates the performance of the entire system, while subje...
This contribution presents a knowledge-based model of the agents’ mutual awareness (social knowledge) and justifies its role in various classes of applications of the concept of...