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IJCAI
2001
15 years 3 months ago
R-MAX - A General Polynomial Time Algorithm for Near-Optimal Reinforcement Learning
R-max is a very simple model-based reinforcement learning algorithm which can attain near-optimal average reward in polynomial time. In R-max, the agent always maintains a complet...
Ronen I. Brafman, Moshe Tennenholtz
CORR
2006
Springer
108views Education» more  CORR 2006»
15 years 2 months ago
Scheduling and Codeword Length Optimization in Time Varying Wireless Networks
Abstract-- In this paper, a downlink scenario in which a singleantenna base station communicates with K single antenna users, over a time-correlated fading channel, is considered. ...
Mehdi Ansari Sadrabadi, Alireza Bayesteh, Amir K. ...
CORR
2007
Springer
89views Education» more  CORR 2007»
15 years 2 months ago
Hardware Support for QoS-based Function Allocation in Reconfigurable Systems
This contribution presents a new approach for allocating suitable function-implementation variants depending on given quality-of-service functionrequirements for run-time reconfig...
Michael Ullmann, Wansheng Jin, Jürgen Becker
IGPL
2010
92views more  IGPL 2010»
15 years 1 months ago
The weight of competence under a realistic loss function
In many scientific, economic and policy-related problems, pieces of information from different sources have to be aggregated. Typically, the sources are not equally competent. T...
Stephan Hartmann, Jan Sprenger
113
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ICCAD
1998
IEEE
83views Hardware» more  ICCAD 1998»
15 years 6 months ago
Lazy transition systems: application to timing optimization of asynchronous circuits
This paper introduces Lazy Transitions Systems (LzTSs). The notion of laziness explicitly distinguishes between the enabling and the firing of an event in a transition system. LzT...
Jordi Cortadella, Michael Kishinevsky, Alex Kondra...