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» Using reinforcement learning to adapt an imitation task
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HRI
2006
ACM
14 years 1 months ago
Teaching robots by moulding behavior and scaffolding the environment
Programming robots to carry out useful tasks is both a complex and non-trivial exercise. A simple and intuitive method to allow humans to train and shape robot behaviour is clearl...
Joe Saunders, Chrystopher L. Nehaniv, Kerstin Daut...
AR
2008
118views more  AR 2008»
13 years 8 months ago
Efficient Behavior Learning Based on State Value Estimation of Self and Others
The existing reinforcement learning methods have been seriously suffering from the curse of dimension problem especially when they are applied to multiagent dynamic environments. ...
Yasutake Takahashi, Kentarou Noma, Minoru Asada
ICMLA
2009
13 years 5 months ago
Multiagent Transfer Learning via Assignment-Based Decomposition
We describe a system that successfully transfers value function knowledge across multiple subdomains of realtime strategy games in the context of multiagent reinforcement learning....
Scott Proper, Prasad Tadepalli
IJCSA
2006
111views more  IJCSA 2006»
13 years 7 months ago
Using DocBook and XML Technologies to Create Adaptive Learning Content in Technical Domains
This work presents an XML-based authoring methodology that facilitates the different tasks associated with the development of standards-compliant e-learning content development. T...
Iván Martínez-Ortiz, Pablo Moreno-Ge...
IJCNN
2008
IEEE
14 years 2 months ago
Learning to select relevant perspective in a dynamic environment
— When an agent observes its environment, there are two important characteristics of the perceived information. One is the relevance of information and the other is redundancy. T...
Zhihui Luo, David A. Bell, Barry McCollum, Qingxia...