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Imitation Learning: A Survey of Learning Methods, Environments and Metrics
May 1, 2024, 4:42 a.m. | Nathan Gavenski, Odinaldo Rodrigues, Michael Luck
cs.LG updates on arXiv.org arxiv.org
Abstract: Imitation learning is an approach in which an agent learns how to execute a task by trying to mimic how one or more teachers perform it. This learning approach offers a compromise between the time it takes to learn a new task and the effort needed to collect teacher samples for the agent. It achieves this by balancing learning from the teacher, who has some information on how to perform the task, and deviating from …
abstract agent arxiv cs.ai cs.lg environments imitation learning learn metrics survey teachers type
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