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.
Wearable assistive robotics: A perspective on current challenges and future trends,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.RO 1years
2025 1verdicts
REJECT 1representative citing papers
citing papers explorer
-
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.