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» Efficient Algorithms for Online Decision Problems
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ICML
2006
IEEE
14 years 11 months ago
An analytic solution to discrete Bayesian reinforcement learning
Reinforcement learning (RL) was originally proposed as a framework to allow agents to learn in an online fashion as they interact with their environment. Existing RL algorithms co...
Pascal Poupart, Nikos A. Vlassis, Jesse Hoey, Kevi...
CAP
2010
13 years 5 months ago
Parallel disk-based computation for large, monolithic binary decision diagrams
Binary Decision Diagrams (BDDs) are widely used in formal verification. They are also widely known for consuming large amounts of memory. For larger problems, a BDD computation wi...
Daniel Kunkle, Vlad Slavici, Gene Cooperman
JMLR
2008
159views more  JMLR 2008»
13 years 10 months ago
Near-Optimal Sensor Placements in Gaussian Processes: Theory, Efficient Algorithms and Empirical Studies
When monitoring spatial phenomena, which can often be modeled as Gaussian processes (GPs), choosing sensor locations is a fundamental task. There are several common strategies to ...
Andreas Krause, Ajit Paul Singh, Carlos Guestrin
JSW
2008
136views more  JSW 2008»
13 years 10 months ago
Collaborative Product Configuration: Formalization and Efficient Algorithms for Dependency Analysis
- In the Software Product Line approach, product configuration is a key activity in which stakeholders choose features for a product. This activity is critical in the sense that ca...
Marcílio Mendonça, Donald D. Cowan, ...
COLING
2010
13 years 5 months ago
Efficient Statement Identification for Automatic Market Forecasting
Strategic business decision making involves the analysis of market forecasts. Today, the identification and aggregation of relevant market statements is done by human experts, oft...
Henning Wachsmuth, Peter Prettenhofer, Benno Stein