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» Learning to Solve Problems from Exercises
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COLT
2008
Springer
13 years 11 months ago
Adaptive Aggregation for Reinforcement Learning with Efficient Exploration: Deterministic Domains
We propose a model-based learning algorithm, the Adaptive Aggregation Algorithm (AAA), that aims to solve the online, continuous state space reinforcement learning problem in a de...
Andrey Bernstein, Nahum Shimkin

Publication
233views
12 years 8 months ago
Sparse reward processes
We introduce a class of learning problems where the agent is presented with a series of tasks. Intuitively, if there is relation among those tasks, then the information gained duri...
Christos Dimitrakakis
BMCBI
2006
180views more  BMCBI 2006»
13 years 9 months ago
Building multiclass classifiers for remote homology detection and fold recognition
Motivation Protein remote homology prediction and fold recognition are central problems in computational biology. Supervised learning algorithms based on support vector machines a...
Huzefa Rangwala, George Karypis
AIED
2005
Springer
14 years 3 months ago
The Andes Physics Tutoring System: Five Years of Evaluations
Andes is a mature intelligent tutoring system that has helped hundreds of students improve their learning of university physics. It replaces pencil and paper problem solving homewo...
Kurt VanLehn, Collin Lynch, Kay G. Schulze, Joel A...
COCOON
1995
Springer
14 years 1 months ago
Constructing Craig Interpolation Formulas
A Craig interpolant of two inconsistent theories is a formula which is true in one and false in the other. This paper gives an eificient method for constructing a Craig interpolant...
Guoxiang Huang