Policy Reuse is a reinforcement learning technique that efficiently learns a new policy by using past similar learned policies. The Policy Reuse learner improves its exploration b...
Extensive software-based simulation continues to be the mainstream methodology for functional verification of designs. To optimize the use of limited simulation resources, coverag...
Onur Guzey, Li-C. Wang, Jeremy R. Levitt, Harry Fo...
: Significant progress has been made by the computer vision community in recent years along two fronts: (i) developing complex spatial-temporal models for object registration and t...
—We present an application of interactive global illumination and spatially augmented reality to architectural daylight modeling that allows designers to explore alternative desi...
Yu Sheng, Theodore C. Yapo, Christopher Young, Bar...
We present an application of interactive global illumination and spatially augmented reality to architectural daylight modeling that allows designers to explore alternative design...
Yu Sheng, Theodore C. Yapo, Christopher Young, Bar...