Learning on real robots in an real, unaltered environment provides an extremely challenging problem. Many of the simplifying assumptions made in other areas of learning cannot be ...
In reinforcement learning, an agent tries to learn a policy, i.e., how to select an action in a given state of the environment, so that it maximizes the total amount of reward it ...
In this paper, we evaluate mass knowledge acquisition using modified ALICE chatterbots. In particular we investigate the potential of allowing subjects to modify chatterbot respon...
Robert P. Schumaker, Ying Liu, Mark Ginsburg, Hsin...
This paper describes the work of an EPSRC (Engineering and Physical Sciences Research Council) and DETR (Department for the Environment and the Regions) funded research project