Reinforcement learning promises a generic method for adapting agents to arbitrary tasks in arbitrary stochastic environments, but applying it to new real-world problems remains di...
Grid Workflows are emerging as practical programming models for solving large e-scientific problems on the Grid. However, it is typically assumed that the workflow components eith...
We show how to use an interactive theorem prover, HOL, together with a model checker, SPIN, to prove key properties of distance vector routing protocols. We do three case studies: ...
Karthikeyan Bhargavan, Davor Obradovic, Carl A. Gu...
Background: Considering energy function to detect a correct protein fold from incorrect ones is very important for protein structure prediction and protein folding. Knowledge-base...
Shahriar Arab, Mehdi Sadeghi, Changiz Eslahchi, Ha...
el Predicate Abstraction and Refinement for Verifying RTL Verilog Himanshu Jain CMU SCS, Pittsburgh, PA 15213 Daniel Kroening ETH Z?urich, Switzerland Natasha Sharygina CMU SCS an...
Himanshu Jain, Daniel Kroening, Natasha Sharygina,...