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» Game-Based Learning as a New Domain for Case-Based Reasoning
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ICCBR
2009
Springer
14 years 2 months ago
Improving Reinforcement Learning by Using Case Based Heuristics
This work presents a new approach that allows the use of cases in a case base as heuristics to speed up Reinforcement Learning algorithms, combining Case Based Reasoning (CBR) and ...
Reinaldo A. C. Bianchi, Raquel Ros, Ramon Ló...
HIS
2004
13 years 9 months ago
A Case-Based Recommender for Task Assignment in Heterogeneous Computing Systems
Case-based reasoning (CBR) is a knowledge-based problem-solving technique, which is based on reuse of previous experiences. In this paper we propose a new model for static task as...
S. Ghanbari, Mohammad Reza Meybodi, Kambiz Badie
EWCBR
2006
Springer
13 years 11 months ago
Combining Case-Based and Similarity-Based Product Recommendation
Product recommender systems are a popular application and research field of CBR for several years now. However, almost all CBRbased recommender systems are not case-based in the or...
Armin Stahl
ICCBR
2010
Springer
13 years 11 months ago
Reducing the Memory Footprint of Temporal Difference Learning over Finitely Many States by Using Case-Based Generalization
In this paper we present an approach for reducing the memory footprint requirement of temporal difference methods in which the set of states is finite. We use case-based generaliza...
Matt Dilts, Héctor Muñoz-Avila
ICCBR
2001
Springer
14 years 9 days ago
An Accurate Adaptation-Guided Similarity Metric for Case-Based Planning
In this paper, we present an adaptation-guided similarity metric based on the estimate of the number of actions between states, called ADG (Action Distance-Guided). It is determine...
Flavio Tonidandel, Marcio Rillo