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20112020
most citedThe FF Planning System: Fast Plan Generation Through Heuristic Search

1.9k citations · 2.3k across the 9 of their papers we have counts for

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6 papers · 1 filter

cs.AI2014★ 59 cited

Analyzing Search Topology Without Running Any Search: On the Connection Between Causal Graphs and h+

Joerg Hoffmann

The ignoring delete lists relaxation is of paramount importance for both satisficing and optimal planning. In earlier work, it was observed that the optimal relaxation heuristic h+…

cs.AI2013★ 27 cited

POMDPs Make Better Hackers: Accounting for Uncertainty in Penetration Testing

Carlos Sarraute, Olivier Buffet, Joerg Hoffmann

Penetration Testing is a methodology for assessing network security, by generating and executing possible hacking attacks. Doing so automatically allows for regular and systematic…

cs.AI2013★ 30 cited

Penetration Testing == POMDP Solving?

Carlos Sarraute, Olivier Buffet, Joerg Hoffmann

Penetration Testing is a methodology for assessing network security, by generating and executing possible attacks. Doing so automatically allows for regular and systematic testing…

cs.AI2011★ 90 cited

Probabilistic Planning via Heuristic Forward Search and Weighted Model Counting

C. Domshlak, J. Hoffmann

We present a new algorithm for probabilistic planning with no observability. Our algorithm, called Probabilistic-FF, extends the heuristic forward-search machinery of Conformant-FF…

cs.AI2011★ 194 cited

The Metric-FF Planning System: Translating "Ignoring Delete Lists" to Numeric State Variables

J. Hoffmann

Planning with numeric state variables has been a challenge for many years, and was a part of the 3rd International Planning Competition (IPC-3). Currently one of the most popular a…

cs.AI2011★ 1.9k cited

The FF Planning System: Fast Plan Generation Through Heuristic Search

J. Hoffmann, B. Nebel

We describe and evaluate the algorithmic techniques that are used in the FF planning system. Like the HSP system, FF relies on forward state space search, using a heuristic that es…