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» Control of Many Agents Using Few Instructions
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ATAL
2007
Springer
16 years 4 days 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
CHI
2001
ACM
16 years 6 months ago
Beyond command knowledge: identifying and teaching strategic knowledge for using complex computer applications
Despite experience, many users do not make efficient use of complex computer applications. We argue that this is caused by a lack of strategic knowledge that is difficult to acqui...
Suresh K. Bhavnani, Frederick Reif, Bonnie E. John
AGENTS
1997
Springer
15 years 10 months ago
Ant-Like Agents for Load Balancing in Telecommunications Networks
This paper describes a novel method of achieving load balancing in telecommunications networks. A simulated network models a typical distribution of calls between arbitrary nodes;...
Ruud Schoonderwoerd, Owen Holland, Janet Bruten
CGO
2006
IEEE
16 years 21 hour ago
Constructing Virtual Architectures on a Tiled Processor
As the amount of available silicon resources on one chip increases, we have seen the advent of ever increasing parallel resources integrated on-chip. Many architectures use these ...
David Wentzlaff, Anant Agarwal
ISLPED
2004
ACM
139views Hardware» more  ISLPED 2004»
15 years 11 months ago
Eliminating voltage emergencies via microarchitectural voltage control feedback and dynamic optimization
Microprocessor designers use techniques such as clock gating to reduce power dissipation. An unfortunate side-effect of these techniques is the processor current fluctuations th...
Kim M. Hazelwood, David Brooks