Robot learning with GA-based fuzzy reinforcement learning agents

DOI10.1016/S0020-0255(02)00223-2zbMath1021.68864OpenAlexW2033689783MaRDI QIDQ1394890

Changjiu Zhou

Publication date: 25 June 2003

Published in: Information Sciences (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/s0020-0255(02)00223-2

zbMATH Keywords

Genetic algorithmsReinforcement learningRobot learningBiped robotLearning agentsNeural fuzzy systems

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Computing methodologies and applications (68U99) Artificial intelligence for robotics (68T40)

Related Items (2)

Reinforcement learning algorithms with function approximation: recent advances and applications ⋮ Learning weighted linguistic rules to control an autonomous robot

Cites Work

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• Biped locomotion. Dynamics, stability, control and application. Transl. from Serbo-Croatian
• Dynamic balance of a biped robot using fuzzy reinforcement learning agents
• Neuro-fuzzy gait synthesis with reinforcement learning for a biped walking robot

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