Sciweavers

AAAI
2000
13 years 6 months ago
Localizing Search in Reinforcement Learning
Reinforcement learning (RL) can be impractical for many high dimensional problems because of the computational cost of doing stochastic search in large state spaces. We propose a ...
Gregory Z. Grudic, Lyle H. Ungar
UIST
1999
ACM
13 years 9 months ago
Integrated Manipulation: Context-Aware Manipulation of 2D Diagrams
Diagram manipulation in conventional CAD systems requires frequent mode switching and explicit placement of the pivot for rotation and scaling. In order to simplify this process, ...
Masaaki Honda, Takeo Igarashi, Hidehiko Tanaka, Sh...