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ICRA
2007
IEEE
157views Robotics» more  ICRA 2007»
16 years 29 days ago
Learning to Select State Machines using Expert Advice on an Autonomous Robot
— Hierarchical state machines have proven to be a powerful tool for controlling autonomous robots due to their flexibility and modularity. For most real robot implementations, h...
Brenna Argall, Brett Browning, Manuela M. Veloso
IJCNN
2006
IEEE
16 years 21 days ago
Reinforcement Learning Control for Biped Robot Walking on Uneven Surfaces
— Biped robots based on the concept of (passive) dynamic walking are far simpler than the traditional fullycontrolled walking robots, while achieving a more natural gait and cons...
Shouyi Wang, Jelmer Braaksma, Robert Babuska, Daan...
ICRA
2002
IEEE
105views Robotics» more  ICRA 2002»
15 years 11 months ago
Learning Behavioral Parameterization using Spatio-Temporal Case-Based Reasoning
This paper presents an approach to learning an optimal behavioral parameterization in the framework of a Case-Based Reasoning methodology for autonomous navigation tasks. It is ba...
Maxim Likhachev, Michael Kaess, Ronald C. Arkin
ACMICEC
2006
ACM
110views ECommerce» more  ACMICEC 2006»
15 years 10 months ago
Learning inventory management strategies for commodity supply chains with customer satisfaction
In this paper, we look at a supply chain of commodity goods where customer demand is uncertain and partly based on reputation, and where raw material replenishment is uncertain in...
Jeroen van Luin, Han La Poutré, J. Will M. ...
ECML
2006
Springer
15 years 10 months ago
Cost-Sensitive Learning of SVM for Ranking
Abstract. In this paper, we propose a new method for learning to rank. `Ranking SVM' is a method for performing the task. It formulizes the problem as that of binary classific...
Jun Xu, Yunbo Cao, Hang Li, Yalou Huang