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AAAI
1996
15 years 5 months ago
Evolution-Based Discovery of Hierarchical Behaviors
Procedural representations of control policies have two advantages when facing the scale-up problem in learning tasks. First they are implicit, with potential for inductive genera...
Justinian P. Rosca, Dana H. Ballard
IAT
2008
IEEE
15 years 4 months ago
A Game-Theoretic Approach to Determining Efficient Patrolling Strategies for Mobile Robots
Use of game-theoretic models to address patrolling applications has gained increasing interest in the very last years. The patrolling agent is considered playing a game against an...
Francesco Amigoni, Nicola Gatti, Antonio Ippedico
GECCO
2005
Springer
141views Optimization» more  GECCO 2005»
15 years 9 months ago
Evolving cooperative strategies for UAV teams
We present a Genetic Programming approach to evolve cooperative controllers for teams of UAVs. Our focus is a collaborative search mission in an uncertain and/or hostile environme...
Marc D. Richards, L. Darrell Whitley, J. Ross Beve...
IUI
2000
ACM
15 years 8 months ago
APE: learning user's habits to automate repetitive tasks
The APE (Adaptive Programming Environment) project focuses on applying Machine Learning techniques to embed a software assistant into the VisualWorks Smalltalk interactive program...
Jean-David Ruvini, Christophe Dony
CLIMA
2007
15 years 5 months ago
EVOLP: Tranformation-Based Semantics
Over the years, Logic Programming has proved to be a good and natural tool for expressing, querying and manipulating explicit knowledge in many areas of computer science. However, ...
Martin Slota, João Leite