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ICCBR
2009
Springer
13 years 11 months ago
Using Meta-reasoning to Improve the Performance of Case-Based Planning
Case-based planning (CBP) systems are based on the idea of reusing past successful plans for solving new problems. Previous research has shown the ability of meta-reasoning approac...
Manish Mehta, Santiago Ontañón, Ashw...
ICCBR
2009
Springer
13 years 11 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
2009
Springer
13 years 2 months ago
Toward Modeling and Teaching Legal Case-Based Adaptation with Expert Examples
Studying examples of expert case-based adaptation could advance computational modeling but only if the examples can be succinctly represented and reliably interpreted. Supreme Cour...
Kevin D. Ashley, Collin Lynch, Niels Pinkwart, Vin...
ICCBR
2010
Springer
13 years 8 months ago
Similarity-Based Retrieval and Solution Re-use Policies in the Game of Texas Hold'em
In previous papers we have presented our autonomous poker playing agent (SARTRE) that uses a memory-based approach to create a betting strategy for two-player, limit Texas Hold’e...
Jonathan Rubin, Ian Watson
ICCBR
2009
Springer
13 years 2 months ago
Constraint-Based Case-Based Planning Using Weighted MAX-SAT
Previous approaches to case-based planning often finds a similar plan case to a new planning problem to adapt to solve the new problem. However, in the case base, there may be some...
Hankui Zhuo, Qiang Yang, Lei Li