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» Using Learning in a Control Agent
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CCS
2007
ACM
16 years 1 months ago
Administration in role-based access control
Administration of large-scale RBAC systems is a challenging open problem. We propose a principled approach in designing and analyzing administrative models for RBAC. We identify s...
Ninghui Li, Ziqing Mao
NN
2008
Springer
15 years 5 months ago
Sensory adaptation in human balance control: Lessons for biomimetic robotic bipeds
- This paper describes mechanisms used by humans to stand on moving platforms, such as a bus or ship, and to combine body orientation and motion information from multiple sensors i...
Arash Mahboobin, Patrick J. Loughlin, Mark S. Redf...
IJCAI
2007
15 years 8 months ago
Utile Distinctions for Relational Reinforcement Learning
We introduce an approach to autonomously creating state space abstractions for an online reinforcement learning agent using a relational representation. Our approach uses a tree-b...
William Dabney, Amy McGovern
KDD
2009
ACM
167views Data Mining» more  KDD 2009»
16 years 7 months ago
Seven pitfalls to avoid when running controlled experiments on the web
Controlled experiments, also called randomized experiments and A/B tests, have had a profound influence on multiple fields, including medicine, agriculture, manufacturing, and adv...
Thomas Crook, Brian Frasca, Ron Kohavi, Roger Long...
GECCO
2010
Springer
183views Optimization» more  GECCO 2010»
16 years 1 days ago
Neuroevolution of mobile ad hoc networks
This paper describes a study of the evolution of distributed behavior, specifically the control of agents in a mobile ad hoc network, using neuroevolution. In neuroevolution, a p...
David B. Knoester, Heather Goldsby, Philip K. McKi...