We address the problem of optimally controlling stochastic environments that are partially observable. The standard method for tackling such problems is to define and solve a Part...
This paper presents a novel human-computer interface for projector/camera-based applications that uses a deformable interaction surface. We discuss its design and implementation w...
In this paper, we propose a computer-controlled camera work that shoots object scenes to model the professional cameramen's work and selects the best image among plural video...
Gaussian Process Temporal Difference (GPTD) learning offers a Bayesian solution to the policy evaluation problem of reinforcement learning. In this paper we extend the GPTD framew...
Every agent aspiring to human level intelligence, every AGI agent, must be capable of a theory of mind. That is, it must be able to attribute mental states, including intentions, t...