Learning to Ascend Stairs and Ramps: Deep Reinforcement Learning for a Physics-Based Human Musculoskeletal Model

Learning to Ascend Stairs and Ramps: Deep Reinforcement Learning for a Physics-Based Human Musculoskeletal Model

This paper proposes to use deep reinforcement learning to teach a physics-based human musculoskeletal model to ascend stairs and ramps. The deep reinforcement learning architecture employs the proximal policy optimization algorithm combined with imitation learning and is trained with experimental da...

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Bibliographic Details
Main Authors: Aurelien J. C. Adriaenssens, Vishal Raveendranathan, Raffaella Carloni
Format: Article
Language:English
Published: MDPI AG 2022-11-01
Series:Sensors
Subjects:
deep reinforcement learning
computer simulation
Online Access:https://www.mdpi.com/1424-8220/22/21/8479

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https://www.mdpi.com/1424-8220/22/21/8479

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