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AAAI
2012
13 years 9 months ago
Kernel-Based Reinforcement Learning on Representative States
Markov decision processes (MDPs) are an established framework for solving sequential decision-making problems under uncertainty. In this work, we propose a new method for batchmod...
Branislav Kveton, Georgios Theocharous
AIPS
2008
15 years 9 months ago
The Compression Power of Symbolic Pattern Databases
The heuristics used for planning and search often take the pattern databases generated from abstracted versions of the given state space. Pattern databases are typically stored p ...
Marcel Ball, Robert C. Holte
AIED
2005
Springer
16 years 9 days ago
Generating Reports of Graphical Modelling Processes for Authoring and Presentation
Today's computer supported modelling environments could provide much more information about the users’ actions and problem solving processes than they usually store for late...
Lars Bollen
JELIA
1990
Springer
15 years 10 months ago
Action Logic and Pure Induction
In Floyd-Hoare logic, programs are dynamic while assertions are static (hold at states). In action logic the two notions become one, with programs viewed as on-the-fly assertions ...
Vaughan R. Pratt
ECAI
2006
Springer
15 years 10 months ago
Situation Assessment for Sensor-Based Recovery Planning
We present an approach for recovery from perceptual failures, or more precisely anchoring failures. Anchoring is the problem of connecting symbols representing objects to sensor da...
Abdelbaki Bouguerra, Lars Karlsson, Alessandro Saf...