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Search Results - jennie+si
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Adaptive Reinforcement Learning for Soft Exosuit
Invention Description Soft exosuits have the potential to improve mobility and reduce physical strain during walking, but providing effective assistance across different users and walking conditions remains challenging. Traditional learning control systems often require extensive tuning, large amounts of training data, or simulation environments that...
Published: 5/27/2026
|
Updated: 5/27/2026
|
Inventor(s):
Jennie Si
,
Wenlong Zhang
,
Junmin Zhong
,
Emiliano Quinones Yumbla
,
Seyed Soltanian
Keywords(s):
Category(s):
Artificial Intelligence/Machine Learning
,
Computing & Information Technology
,
Human Augmentation
,
Physical Science
Decentralized Excitable Integral Reinforcement Learning (dEIRL) for Hypersonic Vehicles
Continuous-time reinforcement learning (CT-RL) algorithms hold great promise in real-world control applications. Adaptive dynamic programming (ADP)-based CT-RL algorithms, especially their theoretical developments, have achieved great successes. However, these methods have not been demonstrated for solving realistic or meaningful learning control problems....
Published: 2/26/2026
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Updated: 9/19/2025
|
Inventor(s):
Brent Wallace
,
Jennie Si
Keywords(s):
Category(s):
Applied Technologies
,
Artificial Intelligence/Machine Learning
,
Computing & Information Technology
,
Intelligence & Security
,
Physical Science
Excitable Integral Reinforcement Learning (EIRL)
This algorithm is developed in the field of control systems for control of affine nonlinear continuous time (CT) systems, which include important application areas such as robotics and autonomous systems, aerospace, manufacturing, and process control. This invention falls under the class of continuous-time reinforcement learning (CT-RL) control algorithms....
Published: 2/26/2026
|
Updated: 9/12/2025
|
Inventor(s):
Jennie Si
,
Brent Wallace
Keywords(s):
Category(s):
Artificial Intelligence/Machine Learning
,
Physical Science
,
Applied Technologies
,
Computing & Information Technology
,
Intelligence & Security