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Found 3 papers, 1 papers with code
Enhancing Numeric-SAM for Learning with Few Observations
It runs in polynomial time and is guaranteed to output an action model that is safe, in the sense that plans generated by it are applicable and will achieve their intended goals.
A Formal Metareasoning Model of Concurrent Planning and Execution
When timing is tight, there may be insufficient time to complete the search for a plan before it is time to act.
Learning a Shield from Catastrophic Action Effects: Never Repeat the Same Mistake
When humans make catastrophic mistakes, they are expected to learn never to repeat them, such as a toddler who touches a hot stove and immediately learns never to do so again.
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