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» An adaptive system developer's tool-kit
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GECCO
2011
Springer
276views Optimization» more  GECCO 2011»
14 years 7 months ago
Evolution of reward functions for reinforcement learning
The reward functions that drive reinforcement learning systems are generally derived directly from the descriptions of the problems that the systems are being used to solve. In so...
Scott Niekum, Lee Spector, Andrew G. Barto
HASE
2002
IEEE
15 years 9 months ago
An Approach to Specify and Test Component-Based Dependable Software
Components (in-house or pre-fabricated) are increasingly being used to reduce the cost of software development. Given that these components may not have not been developed with de...
Arshad Jhumka, Martin Hiller, Neeraj Suri
ICAC
2006
IEEE
15 years 10 months ago
Enabling Self-Managing Applications using Model-based Online Control Strategies
— The increasing heterogeneity, dynamism, and uncertainty of emerging DCE (Distributed Computing Environment) systems imply that an application must be able to detect and adapt t...
Viraj Bhat, Manish Parashar, Hua Liu, Mohit Khande...
ISORC
2002
IEEE
15 years 9 months ago
Packaging Quality of Service Control Behaviors for Reuse
Two limitations of the current implementations of adaptive QoS behaviors are complexity associated with inserting them into common application contexts and lack of reusability acr...
Richard E. Schantz, Joseph P. Loyall, Michael Atig...
CASES
2006
ACM
15 years 8 months ago
State space reconfigurability: an implementation architecture for self modifying finite automata
Many embedded systems exhibit temporally and behaviorally disjoint behavior slices. When such behaviors are captured by state machines, the current design flow will capture it as ...
Ka-Ming Keung, Akhilesh Tyagi