Extending classical planning with state constraints: Heuristics and search for optimal planning
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Haslum, Patrik; Ivankovic, Franc; Ramirez, Miquel; Gordon, Daniel; Thiebaux, Sylvie; Shivashankar, Vikas; Nau, Dana S.
We present a principled way of extending a classical AI planning formalism with systems of state constraints, which relate - sometimes determine - the values of variables in each state traversed by the plan. This extension occupies an attractive middle ground between expressivity and complexity. It enables modelling a new range of problems, as well as formulating more efficient models of classical planning problems. An example of the former is planning-based control of networked physical...[Show more]
|Collections||ANU Research Publications|
|Source:||Journal of Artificial Intelligence Research|
|Access Rights:||Open Access|
|11213-Article (PDF)-20785-1-10-20180630.pdf||663.99 kB||Adobe PDF|
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