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» Learning Algorithms for Domain Adaptation
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113
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GECCO
2003
Springer
128views Optimization» more  GECCO 2003»
15 years 5 months ago
Learning Biped Locomotion from First Principles on a Simulated Humanoid Robot Using Linear Genetic Programming
We describe the first instance of an approach for control programming of humanoid robots, based on evolution as the main adaptation mechanism. In an attempt to overcome some of th...
Krister Wolff, Peter Nordin
79
Voted
CP
2007
Springer
15 years 6 months ago
Constructive Interval Disjunction
Shaving and constructive disjunction are two main refutation principles used in constraint programming. The shaving principle allows us to compute the singleton arc-consistency (SA...
Gilles Trombettoni, Gilles Chabert
KDD
2006
ACM
155views Data Mining» more  KDD 2006»
16 years 1 months ago
Single-pass online learning: performance, voting schemes and online feature selection
To learn concepts over massive data streams, it is essential to design inference and learning methods that operate in real time with limited memory. Online learning methods such a...
Vitor R. Carvalho, William W. Cohen
104
Voted
ATAL
2010
Springer
15 years 1 months ago
Learning multi-agent state space representations
This paper describes an algorithm, called CQ-learning, which learns to adapt the state representation for multi-agent systems in order to coordinate with other agents. We propose ...
Yann-Michaël De Hauwere, Peter Vrancx, Ann No...
AAMAS
2006
Springer
15 years 20 days ago
An Evolutionary Dynamical Analysis of Multi-Agent Learning in Iterated Games
In this paper, we investigate Reinforcement learning (RL) in multi-agent systems (MAS) from an evolutionary dynamical perspective. Typical for a MAS is that the environment is not ...
Karl Tuyls, Pieter Jan't Hoen, Bram Vanschoenwinke...