Adaptive Quadruped Balance Control for Dynamic Environments Using Maximum-Entropy Reinforcement Learning.

Sun, Haoran; Fu, Tingting; Ling, Yuanhuai; He, Chaoming

Sun, Haoran; Fu, Tingting; Ling, Yuanhuai; He, Chaoming.

Afiliación

Sun H; School of Mechanical Engineering, Southwest Jiaotong University, Chengdu 610031, China.
Fu T; School of Mechanical Engineering, Southwest Jiaotong University, Chengdu 610031, China.
Ling Y; School of Mechanical Engineering, Southwest Jiaotong University, Chengdu 610031, China.
He C; School of Mechanical Engineering, Southwest Jiaotong University, Chengdu 610031, China.

Sensors (Basel) ; 21(17)2021 Sep 02.

Article en En | MEDLINE | ID: mdl-34502796

Asunto(s)

Redes Neurales de la Computación; Refuerzo en Psicología; Algoritmos; Entropía; Aprendizaje

Palabras clave

artificial neural networks (ANN); multi-contact balance control; quadruped robot; reinforcement learning (RL); soft actor-critic (SAC)

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Refuerzo en Psicología / Redes Neurales de la Computación Idioma: En Revista: Sensors (Basel) Año: 2021 Tipo del documento: Article País de afiliación: China Pais de publicación: Suiza

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