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» Random Sampling of States in Dynamic Programming
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PKDD
2010
Springer
129views Data Mining» more  PKDD 2010»
13 years 6 months ago
Smarter Sampling in Model-Based Bayesian Reinforcement Learning
Abstract. Bayesian reinforcement learning (RL) is aimed at making more efficient use of data samples, but typically uses significantly more computation. For discrete Markov Decis...
Pablo Samuel Castro, Doina Precup
OOPSLA
2010
Springer
13 years 6 months ago
Instrumentation and sampling strategies for cooperative concurrency bug isolation
Fixing concurrency bugs (or crugs) is critical in modern software systems. Static analyses to find crugs such as data races and atomicity violations scale poorly, while dynamic a...
Guoliang Jin, Aditya V. Thakur, Ben Liblit, Shan L...
ICML
2007
IEEE
14 years 8 months ago
A permutation-augmented sampler for DP mixture models
We introduce a new inference algorithm for Dirichlet process mixture models. While Gibbs sampling and variational methods focus on local moves, the new algorithm makes more global...
Percy Liang, Michael I. Jordan, Benjamin Taskar
VSTTE
2010
Springer
13 years 6 months ago
Local Reasoning and Dynamic Framing for the Composite Pattern and Its Clients
Abstract. The Composite design pattern is an exemplar of specification and verification challenges for sequential object-oriented programs. Region logic is a Hoare logic augmente...
Stan Rosenberg, Anindya Banerjee, David A. Naumann
IJCAI
2003
13 years 9 months ago
Use of Off-line Dynamic Programming for Efficient Image Interpretation
An interpretation system finds the likely mappings from portions of an image to real-world objects. An interpretation policy specifies when to apply which imaging operator, to whi...
Ramana Isukapalli, Russell Greiner