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ICCBR
2005
Springer
15 years 10 months ago
CBR for State Value Function Approximation in Reinforcement Learning
CBR is one of the techniques that can be applied to the task of approximating a function over high-dimensional, continuous spaces. In Reinforcement Learning systems a learning agen...
Thomas Gabel, Martin A. Riedmiller
ICCBR
2005
Springer
15 years 10 months ago
Learning to Win: Case-Based Plan Selection in a Real-Time Strategy Game
While several researchers have applied case-based reasoning techniques to games, only Ponsen and Spronck (2004) have addressed the challenging problem of learning to win real-time ...
David W. Aha, Matthew Molineaux, Marc J. V. Ponsen
ICCBR
2005
Springer
15 years 10 months ago
Language Games: Solving the Vocabulary Problem in Multi-Case-Base Reasoning
The problem of heterogeneous case representation poses a major obstacle to realising real-life multi-case-base reasoning (MCBR) systems. The knowledge overhead in developing and ma...
Paolo Avesani, Conor Hayes, Marco Cova
ICCBR
2005
Springer
15 years 10 months ago
Extending jCOLIBRI for Textual CBR
Abstract. This paper summarises our work in textual Case-Based Reasoning within jCOLIBRI. We use Information Extraction techniques to annotate web pages to facilitate semantic retr...
Juan A. Recio-García, Belén Dí...
ICCBR
2005
Springer
15 years 10 months ago
Combining Case-Based Memory with Genetic Algorithm Search for Competent Game AI
We use case-injected genetic algorithms for learning how to competently play computer strategy games. Case-injected genetic algorithms combine genetic algorithm search with a case-...
Sushil J. Louis, Chris Miles
Automated Reasoning
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