Handbook of Learning and Approximate Dynamic Programming

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Online Reinforcement Learning Control for the Personalization of a Robotic Knee Prosthesis von Wen, Yue, Si, Jennie, Brandt, Andrea, Gao, Xiang, Huang, He Helen

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A New Powered Lower Limb Prosthesis Control Framework Based on Adaptive Dynamic Programming von Yue Wen, Jennie Si, Xiang Gao, Huang, Stephanie, He Helen Huang

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FREL: A Stable Feature Selection Algorithm von Li, Yun, Si, Jennie, Zhou, Guojing, Huang, Shasha, Chen, Songcan

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A Novel Framework to Facilitate User Preferred Tuning for a Robotic Knee Prosthesis von Alili, Abbas, Nalam, Varun, Li, Minhan, Liu, Ming, Feng, Jing, Si, Jennie, Huang, He

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Robotic Knee Tracking Control to Mimic the Intact Human Knee Profile Based on Actor-Critic Reinforcement Learning von Wu, Ruofan, Yao, Zhikai, Si, Jennie, Huang, He Helen

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Helicopter trimming and tracking control using direct neural dynamic programming von Enns, R., Jennie Si

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Cortical neural responses to previous trial outcome during learning of a directional choice task von Yuan, Yuan, Mao, Hongwei, Si, Jennie

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Reinforcement Learning Control of Hypersonic Vehicles and Performance Evaluations von Wallace, Brent A., Si, Jennie

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Reinforcement Learning Control With Knowledge Shaping von Gao, Xiang, Si, Jennie, Huang, He

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Toward Expedited Impedance Tuning of a Robotic Prosthesis for Personalized Gait Assistance by Reinforcement Learning Control von Li, Minhan, Wen, Yue, Gao, Xiang, Si, Jennie, Huang, He

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Online Reinforcement Learning Control by Direct Heuristic Dynamic Programming: From Time-Driven to Event-Driven von Zhao, Qingtao, Si, Jennie, Sun, Jian

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Orthogonal Rotation-Invariant Moments for Digital Image Processing von Huibao Lin, Si, J., Abousleman, G.P.

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Reinforcement Learning Control of Robotic Knee With Human-in-the-Loop by Flexible Policy Iteration von Gao, Xiang, Si, Jennie, Wen, Yue, Li, Minhan, Huang, He

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Continuous-Time Reinforcement Learning Control: A Review of Theoretical Results, Insights on Performance, and Needs for New Designs von Wallace, Brent A., Si, Jennie

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Continuous-Time Reinforcement Learning: New Design Algorithms With Theoretical Insights and Performance Guarantees von Wallace, Brent A., Si, Jennie

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Policy Approximation in Policy Iteration Approximate Dynamic Programming for Discrete-Time Nonlinear Systems von Guo, Wentao, Si, Jennie, Liu, Feng, Mei, Shengwei

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Reinforcement-Learning-Based Tracking Control of Waste Water Treatment Process Under Realistic System Conditions and Control Performance Requirements von Yang, Qinmin, Cao, Weiwei, Meng, Wenchao, Si, Jennie

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A boundedness result for the direct heuristic dynamic programming von Liu, Feng, Sun, Jian, Si, Jennie, Guo, Wentao, Mei, Shengwei

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Deep Reinforcement Learning for Load Shedding Against Short-Term Voltage Instability in Large Power Systems von Zhang, Jingyi, Luo, Yonghong, Wang, Boya, Lu, Chao, Si, Jennie, Song, Jie

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