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» Managing Multiple Tasks in Complex, Dynamic Environments
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ROBOCUP
2007
Springer
153views Robotics» more  ROBOCUP 2007»
15 years 5 months ago
Model-Based Reinforcement Learning in a Complex Domain
Reinforcement learning is a paradigm under which an agent seeks to improve its policy by making learning updates based on the experiences it gathers through interaction with the en...
Shivaram Kalyanakrishnan, Peter Stone, Yaxin Liu
AAAI
2000
15 years 13 days ago
Adaptive User Interfaces through Dynamic Design Automation
The inherent difficulty in supporting human usability in large control systems--such as building environmental and security systems--derives from the large diversity of components...
Robin R. Penner, Erik S. Steinmetz, Christopher L....
98
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KES
2006
Springer
14 years 11 months ago
A Framework for distributed knowledge management in autonomous logistic processes
The trends and recent changes in logistics lead to complex and partially conflicting requirements on logistic planning and control systems. Due to the lack of efficiency of curren...
Hagen Langer, Jan D. Gehrke, Joachim Hammer, Marti...
HCW
2000
IEEE
15 years 3 months ago
Evaluation of PAMS' Adaptive Management Services
Management of large-scale parallel and distributed applications is an extremely complex task due to factors such as centralized management architectures, lack of coordination and ...
Yoonhee Kim, Salim Hariri, Muhamad Djunaedi
LDTA
2010
14 years 11 months ago
Embedding a web-based workflow management system in a functional language
Workflow management systems guide and monitor tasks performed by humans and computers. The workflow specifications are usually expressed in special purpose (graphical) formalisms....
Jan Martin Jansen, Rinus Plasmeijer, Pieter W. M. ...