Imitation is actively being studied as an effective means of learning in multi-agent environments. It allows an agent to learn how to act well (perhaps optimally) by passively obs...
In reinforcement learning problems, an agent has the task of learning a good or optimal strategy from interaction with his environment. At the start of the learning task, the agent...
Tom Croonenborghs, Kurt Driessens, Maurice Bruynoo...
straction is a useful tool for agents interacting with environments. Good state abstractions are compact, reuseable, and easy to learn from sample data. This paper and extends two...
In this paper we present a system that automatically generates a 3D virtual world from a virtual institution (VI) specification, namely of activities that will take place in the v...
Fashion signals are displayed to indicate access to information. Consistent, timely, and meaningful signal displays are only made possible if one is well-connected. While fashion ...