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Results tagged with imitation-learning
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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?
Imitation learning is supervised learning applied to the RL setting.
In any general RL algorithm (such as Q-learning), the learning is done on the basis of the reward function. However, consider a sc …
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