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» Learning humanoid reaching tasks in dynamic environments
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AIIA
2007
Springer
15 years 3 months ago
Reinforcement Learning in Complex Environments Through Multiple Adaptive Partitions
The application of Reinforcement Learning (RL) algorithms to learn tasks for robots is often limited by the large dimension of the state space, which may make prohibitive its appli...
Andrea Bonarini, Alessandro Lazaric, Marcello Rest...
SOFSEM
2007
Springer
15 years 3 months ago
Incremental Learning of Planning Operators in Stochastic Domains
In this work we assume that there is an agent in an unknown environment (domain). This agent has some predefined actions and it can perceive its current state in the environment c...
Javad Safaei, Gholamreza Ghassem-Sani
ROMAN
2007
IEEE
173views Robotics» more  ROMAN 2007»
15 years 3 months ago
Human-Robot Interactions as a Cognitive Catalyst for the Learning of Behavioral Attractors
— We address in this paper the problem of the autonomous online learning of a sensory-motor task, demonstrated by an operator guiding the robot. For the last decade, we have deve...
Christophe Giovannangeli, Philippe Gaussier
MHCI
2004
Springer
15 years 3 months ago
Mobile Context Aware Systems: The Intelligence to Support Tasks and Effectively Utilise Resources
: The complex usage of mobile devices coupled with their limited resources in terms of display and processing suggests that being able to understand the context of the user would b...
Russell Beale, Peter Lonsdale
ECLIPSE
2006
ACM
15 years 3 months ago
A focused learning environment for Eclipse
The support available in Eclipse to help software developers learn complex APIs and development tools is inadequate; the support is largely passive and the support typically opera...
Izzet Safer, Gail C. Murphy, Julie Waterhouse, Jin...