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» Gaussian Processes in Machine Learning
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ICML
2004
IEEE
14 years 11 months ago
Apprenticeship learning via inverse reinforcement learning
We consider learning in a Markov decision process where we are not explicitly given a reward function, but where instead we can observe an expert demonstrating the task that we wa...
Pieter Abbeel, Andrew Y. Ng
ICALT
2008
IEEE
14 years 4 months ago
Competency-Based Intelligent Curriculum Sequencing Using Particle Swarms
As a part of many e-learning initiatives, a set of learning units must be arranged in a particular order to meet the learners’ requirements. This process is known as sequencing ...
Luis de Marcos, Roberto Barchino, José-Javi...
ICALT
2007
IEEE
14 years 4 months ago
An Ontology-Based Framework for Authoring Assisted by Recommendation
In this paper, we propose the use of Semantic Web technologies to bridge the gap between authoring systems and authors. The core part of our solution is the ontology-based framewo...
Sasa Nesic, Dragan Gasevic, Mehdi Jazayeri
ECML
2007
Springer
14 years 4 months ago
Safe Q-Learning on Complete History Spaces
In this article, we present an idea for solving deterministic partially observable markov decision processes (POMDPs) based on a history space containing sequences of past observat...
Stephan Timmer, Martin Riedmiller
ICALT
2003
IEEE
14 years 3 months ago
A Conformance Test Suite of Localized LOM Model
Since the approval of IEEE LOM Draft Standard and the advance of network-driven learning technology, a large number of resource database constructors, content developers and learn...
Xin Xiang, Yuanchun Shi, Ling Guo