We show that the two methods are indeed exponentially separated, i.e., that there are cases where one yields exponentially stronger reductions than the other.

We show that the two methods are indeed exponentially separated, i.e., that there are cases where one yields exponentially stronger reductions than the other.

Another major conclusion is that domain-independent planning may not be the prime target application for star-topology decoupling – why go search for star.

Decoupled strong stubborn sets ... Here we show that the two methods can be combined, in the form of strong stubborn sets for fork-decoupled search.

Jul 17, 2019 · We spell out how to address this challenge, designing optimality-preserving decoupled strong stubborn set (DSSS) pruning methods. We introduce a ...

Decoupled Strong Stubborn Sets ( Extended Abstract ) · Daniel Gnad, Martin Wehrle, J¨org Hoffmann · Published 2016 · Mathematics.

Fork- decoupled search thus searches over center paths only, maintaining the compliant paths for each leaf separately. This can yield dramatic benefits. It is ...

Strong Stubborn Set Pruning for Star-Topology Decoupled State Space Search ...

There are cases where DSSS pruning is exponentially more effective than both, decoupled search and SSS pruning, exhibiting true synergy where the whole is ...

May 1, 2019 · We spell out how to address this challenge, designing optimality-preserving decoupled strong stubborn set (DSSS) pruning methods. We introduce a ...