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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...
WSC
2007
13 years 10 months ago
Agent-based simulation for collaborative cranes
Most of the materials and components for a construction project are lifted by cranes. Much research has been done for path planning, motion control, and online navigation to reduc...
Cheng Zhang, Amin Hammad
LPNMR
2009
Springer
14 years 25 days ago
Bridging the Gap between High-Level Reasoning and Low-Level Control
We present a formal framework where the action description language C+ is used to provide multiple robots with high-level reasoning in the style of cognitive robotics. We show the ...
Ozan Caldiran, Kadir Haspalamutgil, Abdullah Ok, C...
AAAI
2007
13 years 10 months ago
Learning to Solve QBF
We present a novel approach to solving Quantified Boolean Formulas (QBF) that combines a search-based QBF solver with machine learning techniques. We show how classification met...
Horst Samulowitz, Roland Memisevic
IJCNN
2008
IEEE
14 years 2 months ago
Building meta-learning algorithms basing on search controlled by machine complexity
Abstract— Meta-learning helps us find solutions to computational intelligence (CI) challenges in automated way. Metalearning algorithm presented in this paper is universal and m...
Norbert Jankowski, Krzysztof Grabczewski