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» Building Relational World Models for Reinforcement Learning
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ECAI
2000
Springer
14 years 1 days ago
Learning to Use Operational Advice
We address the problem of advice-taking in a given domain, in particular for building a game-playing program. Our approach to solving it strives for the application of machine lea...
Johannes Fürnkranz, Bernhard Pfahringer, Herm...
AAAI
2006
13 years 9 months ago
From Pigeons to Humans: Grounding Relational Learning in Concrete Examples
We present a cognitive model that bridges work in analogy and category learning. The model, Building Relations through Instance Driven Gradient Error Shifting (BRIDGES), extends A...
Marc T. Tomlinson, Bradley C. Love
ICML
2010
IEEE
13 years 8 months ago
Modeling Transfer Learning in Human Categorization with the Hierarchical Dirichlet Process
Transfer learning can be described as the tion of abstract knowledge from one learning domain or task and the reuse of that knowledge in a related domain or task. In categorizatio...
Kevin R. Canini, Mikhail M. Shashkov, Thomas L. Gr...
IJCAI
2001
13 years 9 months ago
Probabilistic Classification and Clustering in Relational Data
Supervised and unsupervised learning methods have traditionally focused on data consisting of independent instances of a single type. However, many real-world domains are best des...
Benjamin Taskar, Eran Segal, Daphne Koller
AAI
2000
182views more  AAI 2000»
13 years 7 months ago
Implementing a Business Process Management System Using ADEPT: A Real-World Case Study
: This paper describes how ADEPT's agent-based design and implementation philosophy was used to prototype a business process management system for a real-world application. Th...
Nicholas R. Jennings, Peyman Faratin, Timothy J. N...