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» Gradient methods for iterative distributed control synthesis
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ATAL
2007
Springer
13 years 11 months ago
Batch reinforcement learning in a complex domain
Temporal difference reinforcement learning algorithms are perfectly suited to autonomous agents because they learn directly from an agent’s experience based on sequential actio...
Shivaram Kalyanakrishnan, Peter Stone
GECCO
2006
Springer
132views Optimization» more  GECCO 2006»
13 years 9 months ago
The role of diverse populations in phylogenetic analysis
The most popular approaches for reconstructing phylogenetic trees attempt to solve NP-hard optimization criteria such as maximum parsimony (MP). Currently, the bestperforming heur...
Tiffani L. Williams, Marc L. Smith
TEC
2012
197views Formal Methods» more  TEC 2012»
11 years 7 months ago
Improving Generalization Performance in Co-Evolutionary Learning
Recently, the generalization framework in co-evolutionary learning has been theoretically formulated and demonstrated in the context of game-playing. Generalization performance of...
Siang Yew Chong, Peter Tino, Day Chyi Ku, Xin Yao
ARTCOM
2009
IEEE
14 years 2 days ago
Load Balancing in Multi ECU Configuration
—Electronic Control Units (ECUs) are nowadays employed in automotives for discharging various functionalities within the vehicle. It has become the fundamental building block of ...
Rajeshwari Hegde, K. S. Gurumurthy
EICS
2009
ACM
13 years 10 months ago
Adapting ubicomp software and its evaluation
We describe work in progress on tools and infrastructure to support adaptive component-based software for mobile devices— in our case, Apple iPhones. Our high level aim is ‘de...
Malcolm Hall, Marek Bell, Alistair Morrison, Stuar...