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» Problems of learning in multi-agent systems
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ROBOCUP
2004
Springer
114views Robotics» more  ROBOCUP 2004»
14 years 3 months ago
Modular Learning System and Scheduling for Behavior Acquisition in Multi-agent Environment
The existing reinforcement learning approaches have been suffering from the policy alternation of others in multiagent dynamic environments such as RoboCup competitions since othe...
Yasutake Takahashi, Kazuhiro Edazawa, Minoru Asada
DATESO
2009
109views Database» more  DATESO 2009»
13 years 7 months ago
Various aspects of user preference learning and recommender systems
In this paper, we describe area of recommender systems, with focus on user preference learning problem. We describe such system and identify some interesting problems. We will comp...
Alan Eckhardt
NDSS
2003
IEEE
14 years 3 months ago
Traps and Pitfalls: Practical Problems in System Call Interposition Based Security Tools
System call interposition is a powerful method for regulating and monitoring application behavior. In recent years, a wide variety of security tools have been developed that use t...
Tal Garfinkel
GECCO
2006
Springer
162views Optimization» more  GECCO 2006»
14 years 1 months ago
Evolutionary learning with kernels: a generic solution for large margin problems
In this paper we embed evolutionary computation into statistical learning theory. First, we outline the connection between large margin optimization and statistical learning and s...
Ingo Mierswa
GEM
2008
13 years 11 months ago
Evaluating a Parallel Evolutionary Algorithm on the Chess Endgame Problem
Classifying the endgame positions in Chess can be challenging for humans and is known to be a difficult task in machine learning. An evolutionary algorithm would seem to be the ide...
Wayne Iba, Kelsey Marshman, Benjamin Fisk