c Abstraction for Worst-Case Analysis of Discrete Systems Felice Balarin Cadence Berkeley Laboratories Recently, a methodology for worst-case analysis of discrete systems has been...
We view dynamic scheduling as a sequential decision problem. Firstly, we introduce a generalized planning operator, the stochastic task model (STM), which predicts the effects of ...
Abstract: In most cases, it is simple inconvenience of use that keeps formal methods from being put to industrial use. This paper argues that functionalities, even though of simple...
We consider the Bellman residual minimization approach for solving discounted Markov decision problems, where we assume that a generative model of the dynamics and rewards is avai...
This is an introductory book about machine learning. Notice that this is a draft book. It may contain typos, mistakes, etc.
The book covers the following topics: Boolean Functio...