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NECO
2007
150views more  NECO 2007»
15 years 6 months ago
Reinforcement Learning, Spike-Time-Dependent Plasticity, and the BCM Rule
Learning agents, whether natural or artificial, must update their internal parameters in order to improve their behavior over time. In reinforcement learning, this plasticity is ...
Dorit Baras, Ron Meir
GLVLSI
2010
IEEE
210views VLSI» more  GLVLSI 2010»
15 years 12 months ago
Overscaling-friendly timing speculation architectures
Processors have traditionally been designed for the worst-case, resulting in designs that have high yields, but are expensive in terms of area and power. Better-than-worst-case (B...
John Sartori, Rakesh Kumar
SIGECOM
2003
ACM
135views ECommerce» more  SIGECOM 2003»
16 years 2 days ago
Playing large games using simple strategies
We prove the existence of -Nash equilibrium strategies with support logarithmic in the number of pure strategies. We also show that the payoffs to all players in any (exact) Nash...
Richard J. Lipton, Evangelos Markakis, Aranyak Meh...
CORR
2010
Springer
115views Education» more  CORR 2010»
15 years 7 months ago
The complexity of solving reachability games using value and strategy iteration
Concurrent reachability games is a class of games heavily studied by the computer science community, in particular by the formal methods community. Two standard algorithms for app...
Kristoffer Arnsfelt Hansen, Rasmus Ibsen-Jensen, P...
HASE
2007
IEEE
16 years 1 months ago
Scalable, Adaptive, Time-Bounded Node Failure Detection
This paper presents a scalable, adaptive and timebounded general approach to assure reliable, real-time Node-Failure Detection (NFD) for large-scale, high load networks comprised ...
Matthew Gillen, Kurt Rohloff, Prakash Manghwani, R...