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» An Embeddable Virtual Machine for State Space Generation
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KBSE
2000
IEEE
15 years 1 months ago
Model Checking Programs
The majority of work carried out in the formal methods community throughout the last three decades has (for good reasons) been devoted to special languages designed to make it eas...
Willem Visser, Klaus Havelund, Guillaume P. Brat, ...
ICML
2003
IEEE
15 years 10 months ago
Bayes Meets Bellman: The Gaussian Process Approach to Temporal Difference Learning
We present a novel Bayesian approach to the problem of value function estimation in continuous state spaces. We define a probabilistic generative model for the value function by i...
Yaakov Engel, Shie Mannor, Ron Meir
FORTE
1998
14 years 10 months ago
Exploiting Symmetry in Protocol Testing
Test generation and execution are often hampered by the large state spaces of the systems involved. In automata (or transition system) based test algorithms, taking advantage of s...
Judi Romijn, Jan Springintveld
ICML
1996
IEEE
15 years 1 months ago
A Convergent Reinforcement Learning Algorithm in the Continuous Case: The Finite-Element Reinforcement Learning
This paper presents a direct reinforcement learning algorithm, called Finite-Element Reinforcement Learning, in the continuous case, i.e. continuous state-space and time. The eval...
Rémi Munos
CHARME
2003
Springer
100views Hardware» more  CHARME 2003»
15 years 2 months ago
Inductive Assertions and Operational Semantics
This paper shows how classic inductive assertions can be used in conjunction with an operational semantics to prove partial correctness properties of programs. The method imposes o...
J. Strother Moore