reinforcement learning Archives - Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)

July 21, 2021

Hindsight Experience Replay Improves Reinforcement Learning for Control of a MIMO Musculoskeletal Model of the Human Arm

Author(s)3: Douglas C. Crowder, Robert F. Kirsch, Jessica Abreu

Hindsight Experience Replay Improves Reinforcement Learning for Control of a MIMO Musculoskeletal Model of the Human Arm https://www.embs.org/tnsre/wp-content/themes/movedo/images/empty/thumbnail.jpg 150 150 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE) Transactions on Neural Systems and Rehabilitation Engineering (TNSRE) //www.embs.org/tnsre/wp-content/uploads/sites/15/2022/06/ieee-tnsre-logo2x.png July 21, 2021 March 4, 2022

High-level spinal cord injuries often result in paralysis of all four limbs, leading to decreased patient independence and quality of life. Coordinated functional electrical stimulation (FES) of paralyzed muscles can…

September 25, 2019

Clustering Neural Patterns in Kernel Reinforcement Learning Assists Fast Brain Control in Brain-Machine Interfaces

Author(s)3: Xiang Zhang, Camilo Libedinsky, Rosa So, Jose C. Principe, Yiwen Wang

Clustering Neural Patterns in Kernel Reinforcement Learning Assists Fast Brain Control in Brain-Machine Interfaces https://www.embs.org/tnsre/wp-content/uploads/sites/15/2019/09/wang5abcd-2934176-large.jpg 780 447 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE) Transactions on Neural Systems and Rehabilitation Engineering (TNSRE) //www.embs.org/tnsre/wp-content/uploads/sites/15/2022/06/ieee-tnsre-logo2x.png September 25, 2019 March 4, 2022

Neuroprosthesis enables the brain control on the external devices purely using neural activity for paralyzed people. Supervised learning decoders recalibrate or re-fit the discrepancy between the desired target and…