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HEURISTICS
2008
170views more  HEURISTICS 2008»
13 years 10 months ago
Accelerating autonomous learning by using heuristic selection of actions
This paper investigates how to make improved action selection for online policy learning in robotic scenarios using reinforcement learning (RL) algorithms. Since finding control po...
Reinaldo A. C. Bianchi, Carlos H. C. Ribeiro, Anna...
ML
2002
ACM
100views Machine Learning» more  ML 2002»
13 years 9 months ago
Structure in the Space of Value Functions
Solving in an efficient manner many different optimal control tasks within the same underlying environment requires decomposing the environment into its computationally elemental ...
David J. Foster, Peter Dayan
ICSE
2000
IEEE-ACM
14 years 1 months ago
Multibook's test environment
Well engineered Web based courseware and exercises provide flexibility and added value to the students, which goes beyond the traditional text book or CD-ROM based courses. The Mu...
Nathalie Poerwantoro, Abdulmotaleb El-Saddik, Bern...
ACCV
2007
Springer
14 years 4 months ago
MAPACo-Training: A Novel Online Learning Algorithm of Behavior Models
The traditional co-training algorithm, which needs a great number of unlabeled examples in advance and then trains classifiers by iterative learning approach, is not suitable for ...
Heping Li, Zhanyi Hu, Yihong Wu, Fuchao Wu
CEC
2009
IEEE
14 years 4 months ago
On-line neuroevolution applied to The Open Racing Car Simulator
— The application of on-line learning techniques to modern computer games is a promising research direction. In fact, they can be used to improve the game experience and to achie...
Luigi Cardamone, Daniele Loiacono, Pier Luca Lanzi