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GECCO
2000
Springer
143views Optimization» more  GECCO 2000»
15 years 3 months ago
A Genetic Algorithm for Automatically Designing Modular Reinforcement Learning Agents
Reinforcement learning (RL) is one of the machine learning techniques and has been received much attention as a new self-adaptive controller for various systems. The RL agent auto...
Isao Ono, Tetsuo Nijo, Norihiko Ono
DAC
2006
ACM
16 years 17 days ago
Design space exploration using time and resource duality with the ant colony optimization
Design space exploration during high level synthesis is often conducted through ad-hoc probing of the solution space using some scheduling algorithm. This is not only time consumi...
Gang Wang, Wenrui Gong, Brian DeRenzi, Ryan Kastne...
97
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DAC
2003
ACM
16 years 17 days ago
Extending the lifetime of a network of battery-powered mobile devices by remote processing: a markovian decision-based approach
This paper addresses the problem of extending the lifetime of a batterypowered mobile host in a client-server wireless network by using task migration and remote processing. This ...
Peng Rong, Massoud Pedram
ECAI
2004
Springer
15 years 5 months ago
Emergence of Complex Networks through Local Optimization
Abstract. The emergence of complex network structures of relationships between autonomous agents occurs in a wide range of distributed systems. Many researchers have proposed model...
Josep M. Pujol, Andreas Flache, Ramon Sangües...
ISQED
2007
IEEE
119views Hardware» more  ISQED 2007»
15 years 5 months ago
Optimizing Checking-Logic for Reliability-Agnostic Control of Self-Calibrating Designs
Abstract— Self-calibrating designs have recently gained momentum as an alternative to methods relying on worst-case characterisation of silicon [2], [4], [8]. So far, reliable op...
Frederic Worm, Patrick Thiran, Paolo Ienne