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Results tagged with imitation-learning
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user 16363
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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How can imitation learning data be collected?
Imitation learning data usually means data gathered from an expert, that is data from an agent proficient in the task.
The agent may be:
A human operator: have the operator complete the task and reco …
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