Apprenticeship learning

In artificial intelligence, apprenticeship learning (or learning from demonstration or imitation learning) is the process of learning by observing an expert.^[1]^[2] It can be viewed as a form of supervised learning, where the training dataset consists of task executions by a demonstration teacher.^[2]

^ "Apprenticeship learning via inverse reinforcement learning". Pieter Abbeel, Andrew Ng, In 21st International Conference on Machine Learning (ICML). 2004.
^ ^a ^b Argall, Brenna D.; Chernova, Sonia; Veloso, Manuela; Browning, Brett (May 2009). "A survey of robot learning from demonstration". Robotics and Autonomous Systems. 57 (5): 469–483. CiteSeerX 10.1.1.145.345. doi:10.1016/j.robot.2008.10.024. S2CID 1045325.

[AIRP-1] "Apprenticeship learning via inverse reinforcement learning". Pieter Abbeel, Andrew Ng, In 21st International Conference on Machine Learning (ICML). 2004.

[survey-2] Argall, Brenna D.; Chernova, Sonia; Veloso, Manuela; Browning, Brett (May 2009). "A survey of robot learning from demonstration". Robotics and Autonomous Systems. 57 (5): 469–483. CiteSeerX 10.1.1.145.345. doi:10.1016/j.robot.2008.10.024. S2CID 1045325.

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