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Results tagged with imitation-learning
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user 16839
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?
In short, imitation learning means learning from the experts. Suppose I have a dataset with labels based on the actions of experts. I use a simple binary classifier algorithm to assess whether it is g …
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