Proximal Policy Optimization With Time-Varying Muscle Synergy for the Control of an Upper Limb Musculoskeletal System

Research article (IEEE Transactions on Automation Science and Engineering, 2023) · cited 21× · AI/ML
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Proximal Policy Optimization With Time-Varying Muscle Synergy for the Control of an Upper Limb Musculoskeletal System

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Proximal Policy Optimization With Time-Varying Muscle Synergy for the Control of an Upper Limb Musculoskeletal System is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Proximal Policy Optimization With Time-Varying Muscle Synergy for the Control of an Upper Limb Musculoskeletal System. Retrieved May 24, 2026, from https://4ort.xyz/entity/proximal-policy-optimization-with-time-varying-muscle-synergy-for-the-control-of-an-upper-limb-musculoskeletal-system
MLA “Proximal Policy Optimization With Time-Varying Muscle Synergy for the Control of an Upper Limb Musculoskeletal System.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/proximal-policy-optimization-with-time-varying-muscle-synergy-for-the-control-of-an-upper-limb-musculoskeletal-system.
BibTeX @misc{4ortxyz_proximal-policy-optimization-with-time-varying-muscle-synergy-for-the-control-of-an-upper-limb-musculoskeletal-system_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Proximal Policy Optimization With Time-Varying Muscle Synergy for the Control of an Upper Limb Musculoskeletal System}}, year = {2026}, url = {https://4ort.xyz/entity/proximal-policy-optimization-with-time-varying-muscle-synergy-for-the-control-of-an-upper-limb-musculoskeletal-system}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Proximal Policy Optimization With Time-Varying Muscle Synergy for the Control of an Upper Limb Musculoskeletal System — https://4ort.xyz/entity/proximal-policy-optimization-with-time-varying-muscle-synergy-for-the-control-of-an-upper-limb-musculoskeletal-system (retrieved 2026-05-24)

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