Optimised Robotic Action in Uncertain Worlds

Richard Dearden

School of Computer Science, University of Birmingham

In this talk I will discuss the challenge of getting a robot to act optimally in an uncertain world. I will present an example task to motivate the problem, look at how such a task can be represented as a partially observable Markov decision problem, and discuss how such a model can be used in practical terms for decision making.