Abstract We consider a cooperative system identification scenario in which an expert agent (teacher) knows correct, or at least good, model of the and aims to assist learner-agent (student), but cannot directly transfer its knowledge student. For example, teacher’s might be abstract teacher student employing different classes, renders parameters uninformative In this paper, we propose correctio...

We compare cultural learning and individualistic, belief-based learning in a class of generalized stag hunt games. Agents can choose from among multiple potentially cooperative actions or can take a secure, self interested action. We assume that a proportion of the cooperative actions prove effective, while others can be undermined by a predatory action. For this class of games, the set of stab...

Coordination in cooperative multiagent systems is an important problem in multiagent learning literature. In practical complex environments, the interactions between agents can be sparse, and each agent’s interacting partners may change frequently and randomly. To this end, we investigate the multiagent coordination problems in cooperative environments under the social learning framework. We co...

This study examined how cultural background (collectivism vs. individualism) affects motor skill learning in a dyadic cooperative learning environment. The research context of this study was NintendoTM Wii Tennis. Twenty college students from a Midwestern university participated in the study, among whom half were from an individualistic culture (USA) and the other half were from a collectivisti...

This work considers the problem of learning cooperative policies in complex, partially observable domains without explicit communication. We extend three classes of single-agent deep reinforcement learning algorithms based on policy gradient, temporal-difference error, and actor-critic methods to cooperative multi-agent systems. We introduce a set of cooperative control tasks that includes task...

Intelligent human agents exist in a cooperative social environment that facilitates learning. They learn not only by trial-and-error, but also through cooperation by sharing instantaneous information, episodic experience, and learned knowledge. The key investigations of this paper are, \Given the same number of reinforcement learning agents, will cooperative agents outperform independent agents...

This study examined the effects of cooperative learning techniques (CLT) on vocabulary achievement of reflective/impulsive Iranian EFL Learners. From among 130 students at Fajr institute in Dehdasht, Kohkiloyeh and Boyer Ahmad Province, Iran, 90 participants were selected based on their performance on the Oxford Placement Test (OPT). The participants were then divided into two experimental grou...