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ICCBR
2009
Springer
14 years 3 months ago
Improving Reinforcement Learning by Using Case Based Heuristics
This work presents a new approach that allows the use of cases in a case base as heuristics to speed up Reinforcement Learning algorithms, combining Case Based Reasoning (CBR) and ...
Reinaldo A. C. Bianchi, Raquel Ros, Ramon Ló...
RTCSA
2008
IEEE
14 years 2 months ago
Reward Maximization for Embedded Systems with Renewable Energies
Renewable energies can enable embedded systems to be functional indefinitely. In particular for small autonomous sensors, energy harvesting techniques have attracted much interes...
Clemens Moser, Jian-Jia Chen, Lothar Thiele
ICC
2007
IEEE
168views Communications» more  ICC 2007»
14 years 2 months ago
Energy and QoS Aware Packet Forwarding in Wireless Sensor Networks
— We consider energy efficient packet forwarding with quality-of-service (QoS) guarantee for wireless sensor networks (WSNs). In most existing wireless network protocols, route ...
Rong Yu, Yan Zhang, Zhi Sun, Shunliang Mei
RECOMB
2001
Springer
14 years 27 days ago
Extracting structural information using time-frequency analysis of protein NMR data
High-throughput, data-directed computational protocols for Structural Genomics (or Proteomics) are required in order to evaluate the protein products of genes for structure and fu...
Christopher James Langmead, Bruce Randall Donald
AIIDE
2006
13 years 10 months ago
The Self Organization of Context for Learning in MultiAgent Games
Reinforcement learning is an effective machine learning paradigm in domains represented by compact and discrete state-action spaces. In high-dimensional and continuous domains, ti...
Christopher D. White, Dave Brogan