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ATAL
2007
Springer
15 years 10 months ago
Model-based function approximation in reinforcement learning
Reinforcement learning promises a generic method for adapting agents to arbitrary tasks in arbitrary stochastic environments, but applying it to new real-world problems remains di...
Nicholas K. Jong, Peter Stone
ICTAI
1997
IEEE
15 years 8 months ago
Toward the Optimization of a Class of Black Box Optimization Algorithms
Many black box optimization algorithms have sufcient exibility to allow them to adapt to the varying circumstances they encounter. These capabilities are of two primary sorts: 1) ...
Gang Wang, Erik D. Goodman, William F. Punch III
ECR
2010
129views more  ECR 2010»
15 years 4 months ago
The design of a reliable reputation system
Next generation Web 2.0 communities and distributed P2P systems rely on the cooperation of diverse user populations spread across numerous administrative and security domains. Zero...
Gayatri Swamynathan, Kevin C. Almeroth, Ben Y. Zha...
ATAL
2007
Springer
15 years 10 months ago
Modelling the provenance of data in autonomous systems
Determining the provenance of data, i.e. the process that led to that data, is vital in many disciplines. For example, in science, the process that produced a given result must be...
Simon Miles, Steve Munroe, Michael Luck, Luc Morea...
HASE
1998
IEEE
15 years 8 months ago
ROAFTS: A Middleware Architecture for Real-Time Object-Oriented Adaptive Fault Tolerance Support
: A middleware architecture named ROAFTS (Real-time Object-oriented Adaptive Fault Tolerance Support) is presented. ROAFTS is designed to support adaptive fault-tolerant execution ...
K. H. Kim