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AAAI
1997
13 years 9 months ago
Structured Solution Methods for Non-Markovian Decision Processes
Markov Decision Processes (MDPs), currently a popular method for modeling and solving decision theoretic planning problems, are limited by the Markovian assumption: rewards and dy...
Fahiem Bacchus, Craig Boutilier, Adam J. Grove
POPL
2008
ACM
14 years 8 months ago
Foundations for structured programming with GADTs
GADTs are at the cutting edge of functional programming and become more widely used every day. Nevertheless, the semantic foundations underlying GADTs are not well understood. In ...
Patricia Johann, Neil Ghani
IPPS
2006
IEEE
14 years 1 months ago
Parallelization of module network structure learning and performance tuning on SMP
As an extension of Bayesian network, module network is an appropriate model for inferring causal network of a mass of variables from insufficient evidences. However learning such ...
Hongshan Jiang, Chunrong Lai, Wenguang Chen, Yuron...
FLAIRS
1998
13 years 9 months ago
Optimizing Production Manufacturing Using Reinforcement Learning
Manyindustrial processes involve makingparts with an assemblyof machines, where each machinecarries out an operation on a part, and the finished product requires a wholeseries of ...
Sridhar Mahadevan, Georgios Theocharous
POPL
2010
ACM
14 years 5 months ago
Structuring the verification of heap-manipulating programs
Most systems based on separation logic consider only restricted forms of implication or non-separating conjunction, as full support for these connectives requires a non-trivial no...
Aleksandar Nanevski, Josh Berdine, Viktor Vafeiadi...