Tipping points in our climate predictions are both wildly dramatic and wildly uncertain. Can mathematicians make them useful?

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Professor Zhou's team provides a rigorous theoretical foundation in their paper. They demonstrate that a specific form of offline Inverse Reinforcement Learning (IRL) reward function can be recovered ...