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» Skill Combination for Reinforcement Learning
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ACG
2003
Springer
15 years 10 months ago
Evaluation in Go by a Neural Network using Soft Segmentation
In this article a neural network architecture is presented that is able to build a soft segmentation of a two-dimensional input. This network architecture is applied to position ev...
Markus Enzenberger
GECCO
2005
Springer
153views Optimization» more  GECCO 2005»
15 years 11 months ago
Evolving neural network ensembles for control problems
In neuroevolution, a genetic algorithm is used to evolve a neural network to perform a particular task. The standard approach is to evolve a population over a number of generation...
David Pardoe, Michael S. Ryoo, Risto Miikkulainen
SIGUCCS
2000
ACM
15 years 9 months ago
Training... A Key to Better Help Desk Consultants
The quality of student consultants and their development through training and education are major factors in determining long-term effectiveness of university Help Desk. To hire a...
Anna Maria Perez, Andrea J. Moore
NIPS
2004
15 years 6 months ago
Responding to Modalities with Different Latencies
Motor control depends on sensory feedback in multiple modalities with different latencies. In this paper we consider within the framework of reinforcement learning how different s...
Fredrik Bissmarck, Hiroyuki Nakahara, Kenji Doya, ...
APSEC
2000
IEEE
15 years 9 months ago
Implementation of a software engineering course for computer science students
Experience from industry shows that graduates in computer science generally lack many of the skills required in software development projects. This presents a challenge to academi...
Ivica Crnkovic, Magnus Larsson, Frank Lüders