Analysis of Social Robotic Navigation approaches: CNN Encoder and Incremental Learning as an alternative to Deep Reinforcement Learning
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.
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Active LearningBIG-bench Machine LearningDeep Reinforcement LearningIncremental Learningreinforcement-learningReinforcement LearningReinforcement Learning (RL)Social NavigationSimilar Papers 제목 키워드 기반
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