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» Dynamics based control with PSRs
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148
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ICML
1996
IEEE
15 years 7 months ago
A Convergent Reinforcement Learning Algorithm in the Continuous Case: The Finite-Element Reinforcement Learning
This paper presents a direct reinforcement learning algorithm, called Finite-Element Reinforcement Learning, in the continuous case, i.e. continuous state-space and time. The eval...
Rémi Munos
117
Voted
AMT
2006
Springer
107views Multimedia» more  AMT 2006»
15 years 7 months ago
An Intelligent Process Monitoring System in Complex Manufacturing Environment
In high-tech industries, most manufacturing processes are complexly intertwined, in that manufacturers or engineers can hardly control a whole set of processes. They are only capa...
Sung Ho Ha, Boo-Sik Kang
GECCO
2006
Springer
185views Optimization» more  GECCO 2006»
15 years 7 months ago
Memory analysis and significance test for agent behaviours
Many agent problems in a grid world have a restricted sensory information and motor actions. The environmental conditions need dynamic processing of internal memory. In this paper...
DaeEun Kim
IJCV
2006
117views more  IJCV 2006»
15 years 3 months ago
Programmable Imaging: Towards a Flexible Camera
In this paper, we introduce the notion of a programmable imaging system. Such an imaging system provides a human user or a vision system significant control over the radiometric an...
Shree K. Nayar, Vlad Branzoi, Terrance E. Boult
129
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ECRA
2002
129views more  ECRA 2002»
15 years 3 months ago
A formal approach to negotiating agents development
This paper presents a formal and executable approach to capture the behaviour of parties involved in a negotiation. A party is modeled as a negotiating agent composed of a communi...
Marlon Dumas, Guido Governatori, Arthur H. M. ter ...