Abstract: Reinforcement learning (RL) has become a popular approach for process control design, especially for systems that are complex and not fully understood. The opaquenature of neural networks ...
Abstract: This letter presents a model-agnostic meta-learning (MAML) based framework for simultaneous and accurate estimation of human gait phase and terrain geometry using a small set of fabric-based ...
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