Imitation
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Novel Perspectives in Imitation Learning: Trends, Challenges, Future Directions
Abstract: Imitation learning refers to a machine learning approach where an algorithm learns to accomplish a task by emulating the actions and behaviours of a proficient expert. The main aim of imitation learning is to extract knowledge from an expert and train the datasets using the existing knowledge. During training, the algorithm is presented with a large dataset of expert demonstrations and learns to map the input to the correct output …
Published in Journal of Open Source Developments · Vol. 10, Issue 1, 2023 · pp. 26–35 Read article