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» Learning to Drive Among Obstacles
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NIPS
2008
13 years 11 months ago
Multi-task Gaussian Process Learning of Robot Inverse Dynamics
The inverse dynamics problem for a robotic manipulator is to compute the torques needed at the joints to drive it along a given trajectory; it is beneficial to be able to learn th...
Kian Ming Adam Chai, Christopher K. I. Williams, S...
ATAL
2006
Springer
13 years 11 months ago
Selecting informative actions improves cooperative multiagent learning
In concurrent cooperative multiagent learning, each agent simultaneously learns to improve the overall performance of the team, with no direct control over the actions chosen by i...
Liviu Panait, Sean Luke
ECIS
2004
13 years 11 months ago
Inserting ICT and IS in a complex organisational environment using an organisational learning model
Within the last few years, knowledge management has become one of the hottest subjects among organisational and information systems theorists and practitioners. Many find in it an...
Silvina Santana
ICCAD
2006
IEEE
119views Hardware» more  ICCAD 2006»
14 years 3 months ago
Dynamic power management using machine learning
Dynamic power management (DPM) work proposed to date places inactive components into low power states using a single DPM policy. In contrast, we instead dynamically select among a...
Gaurav Dhiman, Tajana Simunic Rosing
AAAI
2006
13 years 11 months ago
A Unified Cognitive Architecture for Physical Agents
In this paper we describe Icarus, a cognitive architecture for physical agents that integrates ideas from a number of traditions, but that has been especially influenced by result...
Pat Langley, Dongkyu Choi