PDDL planning problems are used to generate about one million precise reasoning steps for training Process Reward Models, and adding this data to existing datasets improves LLM performance on both mathematical and non-mathematical reasoning benchmarks.
Nau and Paolo Traverso , title =
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A survey categorizes existing work on counterfactual reasoning in automated planning by changed elements, timing of reasoning, reasons for changes, and methods used.
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Counterfactual Reasoning in Automated Planning
A survey categorizes existing work on counterfactual reasoning in automated planning by changed elements, timing of reasoning, reasons for changes, and methods used.