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ATAL
2010
Springer
15 years 6 months ago
Closing the learning-planning loop with predictive state representations
A central problem in artificial intelligence is to choose actions to maximize reward in a partially observable, uncertain environment. To do so, we must learn an accurate model of ...
Byron Boots, Sajid M. Siddiqi, Geoffrey J. Gordon
ICSE
2010
IEEE-ACM
15 years 9 months ago
An empirical study of optimizations in YOGI
Though verification tools are finding industrial use, the utility of engineering optimizations that make them scalable and usable is not widely known. Despite the fact that seve...
Aditya V. Nori, Sriram K. Rajamani
QEST
2007
IEEE
15 years 11 months ago
Stochastic Game Logic
Stochastic game logic (SGL) is a new temporal logic that combines features of alternating temporal logic (to formalize the individual views and cooperation and reaction facilities...
Christel Baier, Tomás Brázdil, Marcu...
SPIN
2007
Springer
15 years 11 months ago
SAT-Based Summarization for Boolean Programs
Boolean programs are frequently used to model abstractions of software programs. They have the advantage that reachability properties are decidable, despite the fact that their sta...
Gérard Basler, Daniel Kroening, Georg Weiss...
ESAW
2006
Springer
15 years 8 months ago
Current Issues in Multi-Agent Systems Development
Abstract. This paper surveys the state-of-the-art in developing multi-agent systems, and sets out to answer the questions: "what are the key current issues in developing multi...
Rafael H. Bordini, Mehdi Dastani, Michael Winikoff