Bonet & Geffner (ECAI'20, arXiv'21) - Githubissues

AI-Planning / macq

Library for action model acquisition from state trace data.

MIT License

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Bonet & Geffner (ECAI'20, arXiv'21) #23

Open haz opened 3 years ago

haz commented 3 years ago

Notes

Just takes state IDs and transitions as input
Produces lifted representation, and does so using SAT
Second one seems to improve on the first, and does so using ASP
We may want to stick with the first initially

References

[ ] Learning First-Order Symbolic Representations for Planning from the Structure of the State Space
[ ] Learning First-Order Representations for Planning from Black-Box States: New Results

haz commented 2 years ago

Depends on #188