In this paper, we describe how certain aspects of the biological phenomena of stigmergy can be imported into multiagent reinforcement learning (MARL), with the purpose of better e...
We present an approach to modeling the average case behavior of learning algorithms. Our motivation is to predict the expected accuracy of learning algorithms as a function of the...
The Behavior Action Simulation Platform (BASP) has been in existence since early 2000, when it was first applied to small-team reconnaissance scenarios for the United States Marin...
— Multi-agent systems (MAS) are a field of study of growing interest in a variety of domains such as robotics or distributed controls. The article focuses on decentralized reinf...
A common teaching and learning methodology involves one that delivers knowledge to learners within a classroom environment. With the enhancement of information technology, Web-bas...