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» Compositional Models for Reinforcement Learning
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COLT
2010
Springer
13 years 5 months ago
An Asymptotically Optimal Bandit Algorithm for Bounded Support Models
Multiarmed bandit problem is a typical example of a dilemma between exploration and exploitation in reinforcement learning. This problem is expressed as a model of a gambler playi...
Junya Honda, Akimichi Takemura
ESANN
2007
13 years 9 months ago
The Recurrent Control Neural Network
This paper presents our Recurrent Control Neural Network (RCNN), which is a model-based approach for a data-efficient modelling and control of reinforcement learning problems in di...
Anton Maximilian Schäfer, Steffen Udluft, Han...
GAMEON
2007
13 years 9 months ago
Agent Based Virtual Tutorship and E-Learning Techniques Applied to a Business Game Built on System Dynamics
An advanced Business Game is presented in the paper, built on the methodology of System Dynamics. It can be used for cognitive learning and knowledge transmission in schools and U...
Marco Remondino
EDUTAINMENT
2007
Springer
14 years 1 months ago
Interactive Composition of 3D Faces for Virtual Characters
As many 3D on-line games appear, there is an increased need for simple and efficient techniques to create many new faces. This paper presents a new algorithm to composite 3D faces ...
Haeyoung Lee, Sungyeol Lee
TSC
2010
182views more  TSC 2010»
13 years 2 months ago
A Query Rewriting Approach for Web Service Composition
Data-Providing (DP) services allow query-like access to organizations' data via web services. The invocation of a DP service results in the execution of a query over data sour...
Mahmoud Barhamgi, Djamal Benslimane, Brahim Medjah...