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» Learning to Improve both Efficiency and Quality of Planning
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ICRA
2010
IEEE
108views Robotics» more  ICRA 2010»
13 years 6 months ago
Planning pre-grasp manipulation for transport tasks
— Studies of human manipulation strategies suggest that pre-grasp object manipulation, such as rotation or sliding of the object to be grasped, can improve task performance by in...
Lillian Y. Chang, Siddhartha S. Srinivasa, Nancy S...
ICDM
2006
IEEE
132views Data Mining» more  ICDM 2006»
14 years 1 months ago
High Quality, Efficient Hierarchical Document Clustering Using Closed Interesting Itemsets
High dimensionality remains a significant challenge for document clustering. Recent approaches used frequent itemsets and closed frequent itemsets to reduce dimensionality, and to...
Hassan H. Malik, John R. Kender
AAAI
2010
13 years 9 months ago
Integrating Sample-Based Planning and Model-Based Reinforcement Learning
Recent advancements in model-based reinforcement learning have shown that the dynamics of many structured domains (e.g. DBNs) can be learned with tractable sample complexity, desp...
Thomas J. Walsh, Sergiu Goschin, Michael L. Littma...
GECCO
2004
Springer
142views Optimization» more  GECCO 2004»
14 years 1 months ago
Improving MACS Thanks to a Comparison with 2TBNs
Abstract. Factored Markov Decision Processes is the theoretical framework underlying multi-step Learning Classifier Systems research. This framework is mostly used in the context ...
Olivier Sigaud, Thierry Gourdin, Pierre-Henri Wuil...
AAAI
1994
13 years 9 months ago
Improving Learning Performance Through Rational Resource Allocation
This article shows how rational analysis can be used to minimize learning cost for a general class of statistical learning problems. We discuss the factors that influence learning...
Jonathan Gratch, Steve A. Chien, Gerald DeJong