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07/18/2023
Continuous-Time Reinforcement Learning: New Design Algorithms with Theoretical Insights and Performance Guarantees
Continuous-time nonlinear optimal control problems hold great promise in...
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10/10/2022
Long N-step Surrogate Stage Reward to Reduce Variances of Deep Reinforcement Learning in Complex Problems
High variances in reinforcement learning have shown impeding successful ...
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01/22/2021
Robotic Knee Tracking Control to Mimic the Intact Human Knee Profile Based on Actor-critic Reinforcement Learning
We address a state-of-the-art reinforcement learning (RL) control approa...
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01/10/2021
Reinforcement Learning Enabled Automatic Impedance Control of a Robotic Knee Prosthesis to Mimic the Intact Knee Motion in a Co-Adapting Environment
Automatically configuring a robotic prosthesis to fit its user's needs a...
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11/11/2020
A Data-Driven Reinforcement Learning Solution Framework for Optimal and Adaptive Personalization of a Hip Exoskeleton
Robotic exoskeletons are exciting technologies for augmenting human mobi...
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06/16/2020
Reinforcement Learning Control of Robotic Knee with Human in the Loop by Flexible Policy Iteration
This study is motivated by a new class of challenging control problems d...
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06/16/2020