Treffer: Swarm robots reinforcement learning convergence accuracy-based learning classifier systems with gradient descent (XCS-GD)
Title:
Swarm robots reinforcement learning convergence accuracy-based learning classifier systems with gradient descent (XCS-GD)
Authors:
Source:
Neural computing & applications (Print). 25(2):263-268
Publisher Information:
London: Springer, 2014.
Publication Year:
2014
Physical Description:
print, 14 ref
Original Material:
INIST-CNRS
Subject Terms:
Computer science, Informatique, Neurology, Neurologie, Sciences exactes et technologie, Exact sciences and technology, Sciences appliquees, Applied sciences, Informatique; automatique theorique; systemes, Computer science; control theory; systems, Intelligence artificielle, Artificial intelligence, Apprentissage et systèmes adaptatifs, Learning and adaptive systems, Automatique théorique. Systèmes, Control theory. Systems, Robotique, Robotics, Algorithme génétique, Genetic algorithm, Algoritmo genético, Algorithme évolutionniste, Evolutionary algorithm, Algoritmo evoluciónista, Apprentissage renforcé, Reinforcement learning, Aprendizaje reforzado, Classification, Clasificación, Descente gradient, Gradient descent, Gradient bajada, Innovation, Innovación, Intelligence artificielle, Artificial intelligence, Inteligencia artificial, Robotique, Robotics, Robótica, Récompense, Reward, Recompensa, Système multiagent, Multiagent system, Sistema multiagente, Algorithme sans mémoire, Oblivious algorithm, Algoritmo sin Memória, Accuracy-based learning classifier system with gradient descent (XCS-GD), Convergence, Swarm robots
Document Type:
Fachzeitschrift
Article
File Description:
text
Language:
English
Author Affiliations:
Department of Information Engineering. Zhengzhou Chenggong University of Finance and Economics, Zhengzhou 451200, China
ISSN:
0941-0643
Rights:
Copyright 2015 INIST-CNRS
CC BY 4.0
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
CC BY 4.0
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
Notes:
Computer science; theoretical automation; systems
Accession Number:
edscal.28607216
Database:
PASCAL Archive
Weitere Informationen
This paper presented a novel approach accuracy-based learning classifier system with gradient descent (XCS-GD) to research on swarm robots reinforcement learning convergence. XCS-GD combines covering operator and genetic algorithm. XCS-GD is responsible for adjusting precision and reducing search space according to some reward obtained from the environment, XCS-GD's innovation discovery component is responsible for discovering new better reinforcement learning rules. The experiment and simulation showed that XCS-GD approach can achieve convergence very quickly in swarm robots reinforcement learning.