Abstract. The methods of Invisible Invariants and Invisible Ranking were developed originally in order to verify temporal properties of parameterized systems in a fully automatic m...
Yi Fang, Nir Piterman, Amir Pnueli, Lenore D. Zuck
This paper introduces the concept of eigen-dynamics and proposes an eigen dynamics analysis (EDA) method to learn the dynamics of natural hand motion from labelled sets of motion ...
This paper gives an overview of guidance laws that can be applied for planar motion control purposes. Considered scenarios include target tracking, where only instantaneous informa...
There exist a number of reinforcement learning algorithms which learn by climbing the gradient of expected reward. Their long-run convergence has been proved, even in partially ob...
The problem of computing bounds on the region-of-attraction for systems with polynomial vector fields is considered. Invariant subsets of the region-of-attraction are characterize...