Settling the Reward Hypothesis
Michael Bowling, John D. Martin, David Abel, Will Dabney
2023年份
47被引次数
16顶会引用
摘要
The reward hypothesis posits that, "all of what we mean by goals and purposes can be well thought of as maximization of the expected value of the cumulative sum of a received scalar signal (reward)." We aim to fully settle this hypothesis. This will not conclude with a simple affirmation or refutation, but rather specify completely the implicit requirements on goals and purposes under which the hypothesis holds.
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引用它的顶会 Paper16
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- Consistent Aggregation of Objectives with Diverse Time Preferences Requires Non-Markovian RewardsSilviu PitisNeurIPS 2023 · 被引用 13 次
- Plasticity as the Mirror of EmpowermentDavid Abel, Michael Bowling, André Barreto, Will Dabney 等NeurIPS 2025 · 被引用 9 次
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