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GECCO
2000
Springer
143views Optimization» more  GECCO 2000»
15 years 5 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 2 months 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...
DAC
2003
ACM
16 years 2 months 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 6 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 7 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