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ICML
2004
IEEE
16 years 7 months ago
Apprenticeship learning via inverse reinforcement learning
We consider learning in a Markov decision process where we are not explicitly given a reward function, but where instead we can observe an expert demonstrating the task that we wa...
Pieter Abbeel, Andrew Y. Ng
ICSE
2008
IEEE-ACM
16 years 7 months ago
Detecting model inconsistency through operation-based model construction
Nowadays, large-scale industrial software systems may involve hundreds of developers working on hundreds of different but related models representing parts of the same system spec...
Xavier Blanc, Isabelle Mounier, Alix Mougenot, Tom...
SIGSOFT
2008
ACM
16 years 7 months ago
Deriving input syntactic structure from execution
Program input syntactic structure is essential for a wide range of applications such as test case generation, software debugging and network security. However, such important info...
Zhiqiang Lin, Xiangyu Zhang
SIGSOFT
2005
ACM
16 years 7 months ago
Relational analysis of algebraic datatypes
We present a technique that enables the use of finite model finding to check the satisfiability of certain formulas whose intended models are infinite. Such formulas arise when us...
Viktor Kuncak, Daniel Jackson
SIGSOFT
2004
ACM
16 years 7 months ago
Efficient incremental algorithms for dynamic detection of likely invariants
Dynamic detection of likely invariants is a program analysis that generalizes over observed values to hypothesize program properties. The reported program properties are a set of ...
Jeff H. Perkins, Michael D. Ernst