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ATAL
2007
Springer
14 years 1 months ago
Model-based function approximation in reinforcement learning
Reinforcement learning promises a generic method for adapting agents to arbitrary tasks in arbitrary stochastic environments, but applying it to new real-world problems remains di...
Nicholas K. Jong, Peter Stone
ATAL
2007
Springer
14 years 1 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
IWMM
2007
Springer
146views Hardware» more  IWMM 2007»
14 years 1 months ago
Allocation-phase aware thread scheduling policies to improve garbage collection performance
Past studies have shown that objects are created and then die in phases. Thus, one way to sustain good garbage collection efficiency is to have a large enough heap to allow many ...
Feng Xian, Witawas Srisa-an, Hong Jiang
OOPSLA
2007
Springer
14 years 1 months ago
Living in the comfort zone
A comfort zone is a tested region of a system’s input space within which it has been observed to behave acceptably. To keep systems operating within their comfort zones, we advo...
Martin C. Rinard
SEMWEB
2007
Springer
14 years 1 months ago
Cultural Adaptivity for the Semantic Web
Our research explores the possibilities for factoring culture into user models, working towards cultural adaptivity in the semantic web. The aim is to represent the user’s positi...
Katharina Reinecke