This paper describes an algorithm, called CQ-learning, which learns to adapt the state representation for multi-agent systems in order to coordinate with other agents. We propose ...
We examine the relationship between the investment that a society makes in education in one generation, and the outcome in terms of the health of the society’s economy in ensuing...
Abstract. In contrast to the variety of listening behaviors produced in humanto-human interaction, most virtual agents sit or stand passively when a user speaks. This is a reflecti...
We present a method for learning a human understandable, executable model of an agent's behavior using observations of its interaction with the environment. By executable we ...
Andrew Guillory, Hai Nguyen, Tucker R. Balch, Char...
In this paper we introduce a group-messaging interface that allows humans to efficiently interact with a group of agents through a hierarchical and customizable text protocol. Our...
Marco M. Carvalho, Matteo Rebeschini, James Horsle...