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    "text": "A place we can turn for inspiration here is the theory of reinforcement learning (e.g., rltheorybook.github.io/rltheorybook..., arxiv.org/abs/2312.16730), which gives abstract techniques for active exploration that can give exponential benefits over passive exploration w.r.t. data efficiency. \n\n6/",
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        "title": "Foundations of Reinforcement Learning and Interactive Decision Making",
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