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Learning to Walk With Deep Reinforcement Learning: Forward Dynamic Simulation of a Physics-Based Musculoskeletal Model of an Osseointegrated Transfemoral Amputee.

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Title: Learning to Walk With Deep Reinforcement Learning: Forward Dynamic Simulation of a Physics-Based Musculoskeletal Model of an Osseointegrated Transfemoral Amputee.
Authors: Ogum, Brown N.1, brownyogum@gmail.com, Schomaker, Lambert R. B.1, l.r.b.schomaker@rug.nl, Carloni, Raffaella1, r.carloni@rug.nl
Source: IEEE Transactions on Neural Systems & Rehabilitation Engineering; 2024, Vol. 32, p431-441, 11p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 182093987
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1109/TNSRE.2024.3352416
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      – Code: eng
        Text: English
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        PageCount: 11
        StartPage: 431
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      – TitleFull: Learning to Walk With Deep Reinforcement Learning: Forward Dynamic Simulation of a Physics-Based Musculoskeletal Model of an Osseointegrated Transfemoral Amputee.
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            NameFull: Schomaker, Lambert R. B.
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              Text: 2024
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              Value: 32
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