We present a new approach in web search engines. The web creates new challenges for information retrieval. The vast improvement in information access is not the only advantage res...
We investigate two forms of dependence between variables and/or formulas within a propositional knowledge base: controllability (a set of variables X controls a formula , if there...
Gridworlds are popular testbeds for planning with incomplete information but not much is known about their properties. We study a fundamental planning problem, localization, to in...
The Multiagent Planning Architecture (MPA) is a framework for integrating diverse technologies into a system capable of solving complex planning problems. Agents within MPA share ...
This paper steps back from the standard infinite horizon formulation of reinforcement learning problems to consider the simpler case of finite horizon problems. Although finite ho...