R-max is a very simple model-based reinforcement learning algorithm which can attain near-optimal average reward in polynomial time. In R-max, the agent always maintains a complet...
Detecting symmetries has many applications in logic synthesis that include, amongst other things, technology mapping, deciding equivalence of Boolean functions when the input corre...
A new system is presented for general symbol segmentation, which is applicable for segmentation of any connected string of symbols, including characters and line diagrams. Using a...
An algorithm based on the Generalized Hebbian Algorithm is described that allows the singular value decomposition of a dataset to be learned based on single observation pairs pres...
This paper presents an algorithm for solving a number of generalized graph coloring problems. Specifically, it gives an agent-based algorithm for the Bandwidth Coloring problem. U...