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GECCO
2010
Springer
153views Optimization» more  GECCO 2010»
13 years 11 months ago
Multi-task evolutionary shaping without pre-specified representations
Shaping functions can be used in multi-task reinforcement learning (RL) to incorporate knowledge from previously experienced tasks to speed up learning on a new task. So far, rese...
Matthijs Snel, Shimon Whiteson
WSC
2008
13 years 10 months ago
Multi-objective UAV mission planning using evolutionary computation
This investigation develops an innovative algorithm for multiple autonomous unmanned aerial vehicle (UAV) mission routing. The concept of a UAV Swarm Routing Problem (SRP) as a ne...
Adam J. Pohl, Gary B. Lamont
ACHI
2008
IEEE
13 years 9 months ago
Specification for User Modeling with Self-Observing Systems
The complicated user interfaces and complex functionality of nowadays interactive products lead to a new class of failures: People do not understand their products and thus fail t...
Mathias Funk, Piet van der Putten, Henk Corporaal
ATAL
2008
Springer
13 years 9 months ago
Transfer of task representation in reinforcement learning using policy-based proto-value functions
Reinforcement Learning research is traditionally devoted to solve single-task problems. Therefore, anytime a new task is faced, learning must be restarted from scratch. Recently, ...
Eliseo Ferrante, Alessandro Lazaric, Marcello Rest...
ICWE
2010
Springer
13 years 9 months ago
Designing Service Marts for Engineering Search Computing Applications
: The use of patterns in data management is not new: in data warehousing, data marts are simple conceptual schemas with exactly one core entity, describing facts, surrounded by mul...
Alessandro Campi, Stefano Ceri, Andrea Maesani, St...