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» Negotiating Using Rewards
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RTSS
1999
IEEE
14 years 1 months ago
Optimal Reward-Based Scheduling of Periodic Real-Time Tasks
Reward-based scheduling refers to the problem in which there is a reward associated with the execution of a task. In our framework, each real-time task comprises a mandatory and a...
Hakan Aydin, Rami G. Melhem, Daniel Mossé, ...
JAIR
2006
157views more  JAIR 2006»
13 years 8 months ago
Decision-Theoretic Planning with non-Markovian Rewards
A decision process in which rewards depend on history rather than merely on the current state is called a decision process with non-Markovian rewards (NMRDP). In decisiontheoretic...
Sylvie Thiébaux, Charles Gretton, John K. S...
GECCO
2011
Springer
276views Optimization» more  GECCO 2011»
13 years 9 days 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
CIARP
2005
Springer
14 years 2 months ago
Reward-Punishment Editing for Mixed Data
The KNN rule has been widely used in many pattern recognition problems, but it is sensible to noisy data within the training set, therefore, several sample edition methods have bee...
Raúl Rodríguez-Colín, Jes&uac...
SIGECOM
2006
ACM
125views ECommerce» more  SIGECOM 2006»
14 years 2 months ago
Minimum payments that reward honest reputation feedback
Online reputation mechanisms need honest feedback to function effectively. Self interested agents report the truth only when explicit rewards offset the cost of reporting and th...
Radu Jurca, Boi Faltings