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Found 5 papers, 0 papers with code
Learning Planning Action Models from State Traces
In one level (L1), the states in the traces are labeled with action names, so we can deduce the number and names of the actions, but we still need to work out the number and types of parameters.
Cloud Kitchen: Using Planning-based Composite AI to Optimize Food Delivery Process
The global food delivery market provides many opportunities for AI-based services that can improve the efficiency of feeding the world.
On Automating Video Game Regression Testing by Planning and Learning
In this paper, we propose a method and workflow for automating regression testing of certain video game aspects using automated planning and incremental action model learning techniques.
Enhancing Temporal Planning Domains by Sequential Macro-actions (Extended Version)
Temporal planning is an extension of classical planning involving concurrent execution of actions and alignment with temporal constraints.
Determining ActionReversibility in STRIPS Using Answer Set and Epistemic Logic Programming
In particular, we leverage an existing translation from PDDL to Answer Set Programming (ASP), and then use several different encodings to tackle the problem of action reversibility for the STRIPS fragment of PDDL.
