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ECML
2005
Springer
14 years 3 months ago
Model-Based Online Learning of POMDPs
Abstract. Learning to act in an unknown partially observable domain is a difficult variant of the reinforcement learning paradigm. Research in the area has focused on model-free m...
Guy Shani, Ronen I. Brafman, Solomon Eyal Shimony
NIPS
2008
13 years 11 months ago
Structure Learning in Human Sequential Decision-Making
We use graphical models and structure learning to explore how people learn policies in sequential decision making tasks. Studies of sequential decision-making in humans frequently...
Daniel Acuña, Paul R. Schrater
ECTEL
2009
Springer
14 years 1 months ago
Remote Hands-On Experience: Distributed Collaboration with Augmented Reality
One claim of Technology-Enhanced Learning (TEL) is to support and exploit benefits from distance learning and remote collaboration. On the other hand, several approaches to learnin...
Matthias Krauß, Kai Riege, Marcus Winter, Ly...
AAAI
2007
14 years 12 days ago
Measuring the Level of Transfer Learning by an AP Physics Problem-Solver
Transfer learning is the ability of an agent to apply knowledge learned in previous tasks to new problems or domains. We approach this problem by focusing on model formulation, i....
Matthew Klenk, Kenneth D. Forbus
IJCAI
1989
13 years 11 months ago
Utilization Filtering: A Method for Reducing the Inherent Harmfulness of Deductively Learned Knowledge
This paper highlights a phenomenon that causes deductively learned knowledge to be harmful when used for problem solving. The problem occurs when deductive problem solvers encount...
Shaul Markovitch, Paul D. Scott