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Action Model Learning with Guarantees
This paper studies the problem of action model learning with full observability.
Safe Learning of PDDL Domains with Conditional Effects -- Extended Version
We prove that learning non-trivial safe action models with conditional effects may require an exponential number of samples.
Numerical Integration and Dynamic Discretization in Heuristic Search Planning over Hybrid Domains
FS+ is shown to be a robust planner over a diverse set of hybrid domains, taken from the existing literature on hybrid planning and systems.
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