The goal of approximate policy evaluation is to “best” represent a target value function according to a specific criterion. Temporal difference methods and Bellman residual m...
State-based model checking methods comprise computing and storing reachable states, while stateless model checking methods directly reason about reachable paths using decision proc...
This paper investigates a complexity-effective technique for verifying a highly distributed directory-based cache coherence protocol. We develop a novel approach called “witnes...
Many complex analysis problems can be most clearly and easily specified as logic rules and queries, where rules specify how given facts can be combined to infer new facts, and quer...
This paper describes a system combining model-based and learning-based methods for automated reasoning in large theories, i.e. on a large number of problems that use many axioms, l...