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» Speeding Up Evolution through Learning: LEM
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ISPASS
2007
IEEE
14 years 3 months ago
Accelerating Full-System Simulation through Characterizing and Predicting Operating System Performance
The ongoing trend of increasing computer hardware and software complexity has resulted in the increase in complexity and overheads of cycle-accurate processor system simulation, e...
Seongbeom Kim, Fang Liu, Yan Solihin, Ravi R. Iyer...
ECML
2007
Springer
14 years 3 months ago
Exploiting Term, Predicate, and Feature Taxonomies in Propositionalization and Propositional Rule Learning
Knowledge representations using semantic web technologies often provide information which translates to explicit term and predicate taxonomies in relational learning. We show how t...
Monika Záková, Filip Zelezný
KI
2007
Springer
14 years 3 months ago
Training on the Job - Collecting Experience with Hierarchical Hybrid Automata
We propose a novel approach to experience collection for autonomous service robots performing complex activities. This approach enables robots to data for many learning problems at...
Alexandra Kirsch, Michael Beetz
ICMLA
2010
13 years 7 months ago
Multimodal Parameter-exploring Policy Gradients
Abstract-- Policy Gradients with Parameter-based Exploration (PGPE) is a novel model-free reinforcement learning method that alleviates the problem of high-variance gradient estima...
Frank Sehnke, Alex Graves, Christian Osendorfer, J...
GECCO
2010
Springer
212views Optimization» more  GECCO 2010»
14 years 2 months ago
Generative and developmental systems
This paper argues that multiagent learning is a potential “killer application” for generative and developmental systems (GDS) because key challenges in learning to coordinate ...
Kenneth O. Stanley