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For questions related to imitation learning (IL), a reinforcement learning technique where a policy is learned from examples (represented as trajectories) of an (optimal) agent's behavior. IL is similar to inverse reinforcement learning (IRL), where a reward function is learned from examples of the (optimal) agent's behavior, which can then be used to solve the RL problem (i.e. find the policy).

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What is the difference between imitation learning and classification done by experts?

I also had the same question, but after looking at this two links: this article and this lecture I think we can say that behavioral cloning (which is the simplest way for doing imitation learning) is …
Abdalwhab Bakheet's user avatar