RRL is a relational reinforcement learning system based on Q-learning in relational state-action spaces. It aims to enable agents to learn how to act in an environment that has no ...
Modern FPGAs have been designed with advanced integrated circuit techniques that allow high speed and low power performance, joined to reconfiguration capabilities. This makes new...
Multiple memory module architecture enjoys higher memory access bandwidth and thus higher performance. Two key problems in gaining high performance in this kind of architecture ar...
Multiple memory module architecture offers higher performance by providing potentially doubled memory bandwidth. Two key problems in gaining high performance in this kind of archi...
There is a problem in the spatial and temporal separation between the varying forms of representation used in urban design. Sketches, physical models, and more recently computatio...
Hiroshi Ishii, Eran Ben-Joseph, John Underkoffler,...