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Implementation of Deep Deterministic Policy Gradients for Controlling Dynamic Bipedal Walking

A control system for bipedal walking in the sagittal plane was developed in simulation. The biped model was built based on anthropometric data for a 1.8 m tall male of average build. At the core of the controller is a deep deterministic policy gradient (DDPG) neural network that was trained in GAZEB...

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Bibliografski detalji
Glavni autori: Chujun Liu, Andrew G. Lonsberry, Mark J. Nandor, Musa L. Audu, Alexander J. Lonsberry, Roger D. Quinn
Format: Artigo
Jezik:Inglês
Izdano: MDPI AG 2019-03-01
Serija:Biomimetics
Teme:
Online pristup:https://www.mdpi.com/2313-7673/4/1/28
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