Ambient media have recently been introduced as a means to present information in our surrounding space in subtle and unmonopolizing ways, promoting peripheral awareness. This paper...
Albrecht Schmidt, Hans-Werner Gellersen, Michael B...
Off-policy reinforcement learning is aimed at efficiently reusing data samples gathered in the past, which is an essential problem for physically grounded AI as experiments are us...
This paper describes the implementation of a workflow management system to support mobile GIS workgroup applications and highlights the design of the workflow definition language t...
— Industrial plants makes a carefully trace of the human intervention on the process. This intervention happens at different points in the history of the facility, since the desi...
—Reinforcement learning is the scheme for unsupervised learning in which robots are expected to acquire behavior skills through self-explorations based on reward signals. There a...
Hiroaki Arie, Tetsuya Ogata, Jun Tani, Shigeki Sug...