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NCI
2004
185views Neural Networks» more  NCI 2004»
13 years 9 months ago
Hierarchical reinforcement learning with subpolicies specializing for learned subgoals
This paper describes a method for hierarchical reinforcement learning in which high-level policies automatically discover subgoals, and low-level policies learn to specialize for ...
Bram Bakker, Jürgen Schmidhuber
ICARCV
2008
IEEE
200views Robotics» more  ICARCV 2008»
14 years 2 months ago
A robot behavior-learning experiment using Particle Swarm Optimization for training a neural-based animat
— We investigate the use of Particle Swarm Optimization (PSO), and compare with Genetic Algorithms (GA), for a particular robot behavior-learning task: the training of an animat ...
Fabien Moutarde
ECAL
2007
Springer
14 years 1 months ago
Evolving Cultural Learning Parameters in an NK Fitness Landscape
Cultural learning allows individuals to acquire knowledge from others through non-genetic means. The effect of cultural learning on the evolution of artificial organisms has been...
Dara Curran, Colm O'Riordan, Humphrey Sorensen
ISCAS
2003
IEEE
117views Hardware» more  ISCAS 2003»
14 years 24 days ago
Learning temporal correlations in biologically-inspired aVLSI
Temporally-asymmetric Hebbian learning is a class of algorithms motivated by data from recent neurophysiology experiments. While traditional Hebbian learning rules use mean firin...
Adria Bofill-i-Petit, Alan F. Murray
WMTE
2002
IEEE
14 years 13 days ago
KLeOS: A Personal, Mobile, Knowledge and Learning Organisation System
The design of a personal, mobile Knowledge and Learning Organisation System (KLeOS) is described. Studies of adult learning practice showed [1] that learning activity is mobile be...
Giasemi N. Vavoula, Mike Sharples