This paper proposes a new planning architecture for agents operating in uncertain and dynamic environments. Decisiontheoretic planning has been recognized as a useful tool for rea...
Stochastic games generalize Markov decision processes MDPs to a multiagent setting by allowing the state transitions to depend jointly on all player actions, and having rewards de...
Michael J. Kearns, Yishay Mansour, Satinder P. Sin...
The paper presents a computational theory for resolving Japanese zero anaphora, based on the notion of discourse segment. We see that the discourse segment reduces the domain of a...
This paper presents an efficient and homogeneous paradigm for automatic acquisition and recognition of nonparametric shapes. Acquisition time varies from linear to cubic in the nu...
Product lines need decision models that guide the derivation of product variants satisfying specific requirements. In dynamic product lines, whose requirements vary during runtime...
Gunnar Brataas, Svein O. Hallsteinsen, Romain Rouv...