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IAT
2005
IEEE
15 years 11 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»
15 years 12 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»
15 years 5 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
15 years 9 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
15 years 9 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