Dealing with social tasks in robotic scenarios is difficult, as having the human in the learning loop is incompatible with most of the current state-of-the-art machine learning algorithms. This is the case when exploring active learning models, in particular the ones involving reinforcement learning. In this work, we discuss this problem and possible solutions by providing a prior study on adaptive convolutional encoders for a social navigation task.
Dealing with social tasks in robotic scenarios is difficult, as having humans in the learning loop is incompatible with most of the state-of-the-art machine learning algorithms. This is the case when exploring Incremental learning models, in particular the ones involving reinforcement learning. In this work, we discuss this problem and possible solutions by analysing a previous study on adaptive convolutional encoders for a social navigation task.
R
the human
humans
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current
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active
Incremental
R
providing a prior
analysing a previous