Cooperative Q-learning based on learning automata

The theory of learning automata has already been applied in reinforcement learning which is characterized by single-agent and single-stage. This paper proposed a multi-robot cooperative Q-learning algorithm based on learning automata. Each robot updates probability for action selection through the l...

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Vydáno v:2009 IEEE International Conference on Automation and Logistics s. 1973 - 1978
Hlavní autoři: Mao Yang, Yantao Tian, Xinyue Qi
Médium: Konferenční příspěvek
Jazyk:angličtina
Vydáno: IEEE 01.08.2009
Témata:
Communication system control
Informatics
Learning automata
Mobile robots
multi-robot reinforcement learning
Network servers
Neural networks
Q-learning
Radio communication
Robot control
Robot sensing systems
Robotics and automation
ISBN:9781424447947, 1424447941
ISSN:2161-8151
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Abstract The theory of learning automata has already been applied in reinforcement learning which is characterized by single-agent and single-stage. This paper proposed a multi-robot cooperative Q-learning algorithm based on learning automata. Each robot updates probability for action selection through the learning automata constantly, and then converts the probability to special experience. Robots can accelerate the learning process by means of sharing experiences among each other. Simulation experiments verify the effectiveness of this algorithm.
AbstractList The theory of learning automata has already been applied in reinforcement learning which is characterized by single-agent and single-stage. This paper proposed a multi-robot cooperative Q-learning algorithm based on learning automata. Each robot updates probability for action selection through the learning automata constantly, and then converts the probability to special experience. Robots can accelerate the learning process by means of sharing experiences among each other. Simulation experiments verify the effectiveness of this algorithm.
Author Xinyue Qi
Yantao Tian
Mao Yang
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  organization: Sch. of Commun. Eng., Jilin Univ., Changchun, China
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  surname: Xinyue Qi
  fullname: Xinyue Qi
  organization: Sch. of Commun. Eng., Jilin Univ., Changchun, China
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Snippet The theory of learning automata has already been applied in reinforcement learning which is characterized by single-agent and single-stage. This paper proposed...
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StartPage 1973
SubjectTerms Communication system control
Informatics
Learning automata
Mobile robots
multi-robot reinforcement learning
Network servers
Neural networks
Q-learning
Radio communication
Robot control
Robot sensing systems
Robotics and automation
Title Cooperative Q-learning based on learning automata
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