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» Reasoning About States of Probabilistic Sequential Programs
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SIGSOFT
2007
ACM
14 years 8 months ago
Programming asynchronous layers with CLARITY
Asynchronous systems components are hard to write, hard to reason about, and (not coincidentally) hard to mechanically verify. In order to achieve high performance, asynchronous c...
Prakash Chandrasekaran, Christopher L. Conway, Jos...
ESOP
2004
Springer
14 years 28 days ago
Canonical Graph Shapes
Abstract. Graphs are an intuitive model for states of a (software) system that include pointer structures — for instance, object-oriented programs. However, a naive encoding resu...
Arend Rensink
UAI
2004
13 years 9 months ago
Dynamic Programming for Structured Continuous Markov Decision Problems
We describe an approach for exploiting structure in Markov Decision Processes with continuous state variables. At each step of the dynamic programming, the state space is dynamica...
Zhengzhu Feng, Richard Dearden, Nicolas Meuleau, R...
DALT
2007
Springer
14 years 1 months ago
Composing High-Level Plans for Declarative Agent Programming
Abstract. Research on practical models of autonomous agents has largely focused on a procedural view of goal achievement. This allows for efficient implementations, but prevents an...
Felipe Rech Meneguzzi, Michael Luck
POPL
2012
ACM
12 years 3 months ago
A type theory for probability density functions
There has been great interest in creating probabilistic programming languages to simplify the coding of statistical tasks; however, there still does not exist a formal language th...
Sooraj Bhat, Ashish Agarwal, Richard W. Vuduc, Ale...