Hybrid reinforcement learning with expert state sequences
Xiaoxiao Guo, Shiyu Chang, et al.
AAAI 2019
This paper describes an efficient shape representation scheme using Voronoi skeletons. This paper makes the following significant contributions. First a new algorithm for the construction of the Voronoi diagram of a polygon with holes is described. The main features of this algorithm are its robustness in handling the standard degenerate cases (colinearity of more than two points; co-circularity of more than three points), and its ease of implementation. The algorithm has been fully implemented and tested on a variety of test inputs. Second, the Voronoi diagram of a polygon is used to derive accurate and robust skeletons for planar shapes. The shape representation scheme using Voronoi skeletons possesess the important properties of connectivity as well as Euclidean metrics. Redundant skeletal edges are deleted in a pruning step which guarantees that connectivity of the skeleton will be preserved. © 1995.
Xiaoxiao Guo, Shiyu Chang, et al.
AAAI 2019
Susan L. Spraragen
International Conference on Design and Emotion 2010
Zahra Ashktorab, Djallel Bouneffouf, et al.
IJCAI 2025
Yale Song, Zhen Wen, et al.
IJCAI 2013