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Learning to Interactively Learn and Assist
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By meta-training with a human surrogate agent, the agent learns to learn from interaction with a human.
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By meta-training with a human surrogate agent, the agent learns to learn from interaction with a human.
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2026-02-22 03:51:56
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Learning to Interactively Learn and Assist Learning to Interactively Learn and Assist scroll down Learning to Interactively Learn and Assist Mark Woodward Google Brain Chelsea Finn Google Brain Karol Hausman Google Brain June 26 2019 Download PDF Video Overview YouTube Abstract When deploying autonomous agents in the real world, we need effective ways of communicating objectives to them. Traditional skill learning has revolved around reinforcement and imitation learning, each with rigid constraints on the format of information exchanged between the human and the agent. While scalar rewards carry little information, demonstrations require significant effort to provide and may carry more information than is necessary. Furthermore, rewards and demonstrations are often defined and collected before training begins, when the human is most uncertain about what information would help the agent. In contrast, when humans communicate objectives with each other, t...
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