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ICCBR
2009
Springer
14 years 3 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...
ICML
2000
IEEE
14 years 9 months ago
Learning Probabilistic Models for Decision-Theoretic Navigation of Mobile Robots
Decision-theoretic reasoning and planning algorithms are increasingly being used for mobile robot navigation, due to the signi cant uncertainty accompanying the robots' perce...
Daniel Nikovski, Illah R. Nourbakhsh
LPAR
2007
Springer
14 years 2 months ago
Extending a Resolution Prover for Inequalities on Elementary Functions
Abstract. Experiments show that many inequalities involving exponentials and logarithms can be proved automatically by combining a resolution theorem prover with a decision procedu...
Behzad Akbarpour, Lawrence C. Paulson
ASP
2005
Springer
14 years 2 months ago
An Experimental Study of Search Strategies and Heuristics in Answer Set Programming
Answer Set Programming (ASP) and propositional satisfiability (SAT) are closely related. In some recent work we have shown that, on a wide set of logic programs called “tight”...
Enrico Giunchiglia, Marco Maratea
PKDD
2005
Springer
125views Data Mining» more  PKDD 2005»
14 years 2 months ago
A Propositional Approach to Textual Case Indexing
Abstract. Problem solving with experiences that are recorded in text form requires a mapping from text to structured cases, so that case comparison can provide informed feedback fo...
Nirmalie Wiratunga, Robert Lothian, Sutanu Chakrab...