Lessons learned systems (LLS) are systems that support a lessons learned process (LLP) to collect, verify, store, disseminate, and reuse organizational lessons. In this paper we e...
We investigate the problem of non-covariant behavior of policy gradient reinforcement learning algorithms. The policy gradient approach is amenable to analysis by information geom...
For a given problem, the optimal Markov policy over a finite horizon is a conditional plan containing a potentially large number of branches. However, there are applications wher...
This paper discusses the use of XML in conjunction with a variety of repositories and database systems, and outlines some of the requirements for an effective query language. Many...
Understanding the source, data, and documentation files associated with legacy systems in preparation for maintenance or reengineering is an increasingly important problem for man...