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IAT
2005
IEEE
14 years 1 months ago
Self-Organizing Cognitive Agents and Reinforcement Learning in Multi-Agent Environment
This paper presents a self-organizing cognitive architecture, known as TD-FALCON, that learns to function through its interaction with the environment. TD-FALCON learns the value ...
Ah-Hwee Tan, Dan Xiao
SMC
2007
IEEE
181views Control Systems» more  SMC 2007»
14 years 2 months ago
Evaluation of grid-map sensor fusion mapping algorithms
This paper presents a thorough evaluation of grid map based sensor fusion algorithms for mapping the environment of a mobile robot. Three physical sensors were used for creating t...
Keren Kapach, Yael Edan
NN
1998
Springer
151views Neural Networks» more  NN 1998»
13 years 7 months ago
Evolutionary neurocontrollers for autonomous mobile robots
In this article we describe a methodology for evolving neurocontrollers of autonomous mobile robots without human intervention. The presentation, which spans from technological an...
Dario Floreano, Francesco Mondada
ACII
2007
Springer
13 years 11 months ago
Learning to Interact with the Caretaker: A Developmental Approach
To build autonomous robots able to live and interact with humans in a real-world dynamic and uncertain environment, the design of architectures permitting robots to develop attachm...
Antoine Hiolle, Lola Cañamero, Arnaud J. Bl...
ATAL
2006
Springer
13 years 11 months ago
Learnable behavioural model for autonomous virtual agents: low-level learning
In this paper, we propose a new integration approach for simulation and behaviour in the learning context that is able to coherently manage the shared virtual environment for the ...
Toni Conde, Daniel Thalmann