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ICMAS
2000
13 years 11 months ago
Distributed Case-Based Learning
Multi-agent systems exploiting case based reasoning techniques have to deal with the problem of retrieving episodes that are themselves distributed across a set of agents. From a ...
M. V. Nagendra Prasad
ECAI
2010
Springer
13 years 11 months ago
Case-Based Multiagent Reinforcement Learning: Cases as Heuristics for Selection of Actions
This work presents a new approach that allows the use of cases in a case base as heuristics to speed up Multiagent Reinforcement Learning algorithms, combining Case-Based Reasoning...
Reinaldo A. C. Bianchi, Ramon López de M&aa...
IJCAI
2003
13 years 11 months ago
Case-Based Recommender Systems: A Unifying View
Abstract. This paper presents a unifying framework to model casebased reasoning recommender systems (CBR-RSs). CBR-RSs have complex architectures and specialize the CBR problem sol...
Fabiana Lorenzi, Francesco Ricci
ICCBR
2009
Springer
14 years 4 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...
ICCBR
1999
Springer
14 years 2 months ago
REMEX - A Case-Based Approach for Reusing Software Measurement Experienceware
Abstract. For the improvement of software quality and productivity, organizations need to systematically build up and reuse software engineering know-how, promoting organizational ...
Christiane Gresse von Wangenheim