Difference between revisions of "Apprenticeship Learning - Inverse Reinforcement Learning (IRL)"

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Revision as of 08:46, 8 February 2022

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Inverse reinforcement learning (IRL) infers/derives a reward function from observed behavior/demonstrations, allowing for policy improvement and generalization. While ordinary "reinforcement learning" involves using rewards and punishments to learn behavior, in IRL the direction is reversed, and a robot observes a person's behavior to figure out what goal that behavior seems to be trying to achieve.