Offline multi-agent RL with Mixed Q-Functionals is applied to MyoPro 2 effort-threshold tuning, but the paper presents no validated evaluation of the learned policies, only raw data analyses.
An adaptive assistance controller to optimize the exoskeleton contribution in rehabilitation,
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Investigating Adaptive Tuning of Assistive Exoskeletons Using Offline Reinforcement Learning: Challenges and Insights
Offline multi-agent RL with Mixed Q-Functionals is applied to MyoPro 2 effort-threshold tuning, but the paper presents no validated evaluation of the learned policies, only raw data analyses.