Jörg Hoffmann 0001
134 publications
13 venues
H Index 33
Affiliation
Saarland University, Department of Computer Science, Saarbr cken, GermanyINRIA, Nancy, France
SAP Research Karlsruhe, Germany
University of Innsbruck, Semantic Technology Institute, Austria
Cornell University, Ithaca, NY, USA
Max Planck Institute for Computer Science, Saarbr cken, Germany
University of Freiburg, Department of Computer Science, Germany
Links
| Name | Venue | Year | citations |
|---|---|---|---|
Neural Action Policy Safety Verification: Applicablity Filtering.
|
ICAPS | 2024 | 0 |
| New Fuzzing Biases for Action Policy Testing.
|
ICAPS | 2024 | 0 |
| Neural Policy Safety Verification via Predicate Abstraction: CEGAR.
|
AAAI | 2023 | 0 |
| Automatic Metamorphic Test Oracles for Action-Policy Testing.
|
ICAPS | 2023 | 0 |
| Lifted Stackelberg Planning.
|
ICAPS | 2023 | 0 |
| Specifying and Testing k-Safety Properties for Machine-Learning Models.
|
IJCAI | 2023 | 0 |
| A Landmark-Cut Heuristic for Lifted Optimal Planning.
|
ECAI | 2023 | 0 |
| Operator-Potential Heuristics for Symbolic Search.
|
AAAI | 2022 | 3 |
| Neural Network Heuristic Functions: Taking Confidence into Account.
|
SOCS | 2022 | 0 |
| Debugging a Policy: Automatic Action-Policy Testing in AI Planning.
|
ICAPS | 2022 | 0 |
| Neural Network Action Policy Verification via Predicate Abstraction.
|
ICAPS | 2022 | 1 |
| Landmark Heuristics for Lifted Classical Planning.
|
IJCAI | 2022 | 0 |
| Operator-Potentials in Symbolic Search: From Forward to Bi-directional Search.
|
ICAPS | 2022 | 0 |
| Classical Planning with Avoid Conditions.
|
AAAI | 2022 | 0 |
| Explaining Soft-Goal Conflicts through Constraint Relaxations.
|
IJCAI | 2022 | 1 |
| Merge and Shrink Abstractions for Temporal Planning.
|
ICAPS | 2022 | 0 |
| Pattern Selection Strategies for Pattern Databases in Probabilistic Planning.
|
ICAPS | 2022 | 0 |
| Online Relaxation Refinement for Satisficing Planning: On Partial Delete Relaxation, Complete Hill-Climbing, and Novelty Pruning.
|
JAIR | 2022 | 0 |
| Evaluating Plan-Property Dependencies: A Web-Based Platform and User Study.
|
ICAPS | 2022 | 1 |
| Neural Network Heuristic Functions for Classical Planning: Bootstrapping and Comparison to Other Methods.
|
ICAPS | 2022 | 3 |
| Expressivity of Planning with Horn Description Logic Ontologies.
|
AAAI | 2022 | 0 |
| Making DL-Lite Planning Practical.
|
KR | 2021 | 2 |
| Learning Temporal Plan Preferences from Examples: An Empirical Study.
|
IJCAI | 2021 | 1 |
| Choosing the Initial State for Online Replanning.
|
AAAI | 2021 | 0 |
| Polynomial-Time in PDDL Input Size: Making the Delete Relaxation Feasible for Lifted Planning.
|
IJCAI | 2021 | 8 |
| Pattern Databases for Stochastic Shortest Path Problems.
|
SOCS | 2021 | 2 |
| Pattern Databases for Goal-Probability Maximization in Probabilistic Planning.
|
ICAPS | 2021 | 6 |
| Custom-Design of FDR Encodings: The Case of Red-Black Planning.
|
IJCAI | 2021 | 0 |
| Landmark Heuristics for Lifted Planning - Extended Abstract.
|
SOCS | 2021 | 2 |
| Faster Stackelberg Planning via Symbolic Search and Information Sharing.
|
AAAI | 2021 | 5 |
| Bridging the Gap Between Probabilistic Model Checking and Probabilistic Planning: Survey, Compilations, and Empirical Comparison.
|
JAIR | 2020 | 7 |
| Beliefs We Can Believe in: Replacing Assumptions with Data in Real-Time Search.
|
AAAI | 2020 | 6 |
| Neural Network Heuristics for Classical Planning: A Study of Hyperparameter Space.
|
ECAI | 2020 | 25 |
| Generating Instructions at Different Levels of Abstraction.
|
COLING | 2020 | 4 |
| Let's Learn Their Language? A Case for Planning with Automata-Network Languages from Model Checking.
|
AAAI | 2020 | 6 |
| Plan-Space Explanation via Plan-Property Dependencies: Faster Algorithms & More Powerful Properties.
|
IJCAI | 2020 | 13 |
| A New Approach to Plan-Space Explanation: Analyzing Plan-Property Dependencies in Oversubscription Planning.
|
AAAI | 2020 | 33 |
| Applying Monte-Carlo Tree Search in HTN Planning.
|
SOCS | 2020 | 0 |
| Advanced Factoring Strategies for Decoupled Search Using Linear Programming.
|
ICAPS | 2019 | 2 |
| Real-Time Planning as Decision-Making under Uncertainty.
|
AAAI | 2019 | 5 |
| On the Relation between Star-Topology Decoupling and Petri Net Unfolding.
|
ICAPS | 2019 | 3 |
| Comparative Criteria for Partially Observable Contingent Planning.
|
AAMAS | 2019 | 3 |
| Refining Abstraction Heuristics during Real-Time Planning.
|
AAAI | 2019 | 1 |
| Strong Stubborn Set Pruning for Star-Topology Decoupled State Space Search.
|
JAIR | 2019 | 6 |
| Comparative criteria for partially observable contingent planning.
|
Autonomous Agents and Multi-Agent Systems | 2019 | 0 |
| LP Heuristics over Conjunctions: Compilation, Convergence, Nogood Learning.
|
IJCAI | 2018 | 2 |
| On Stubborn Sets and Planning with Resources.
|
ICAPS | 2018 | 5 |
| Compiling Probabilistic Model Checking into Probabilistic Planning.
|
ICAPS | 2018 | 7 |
| Stackelberg Planning: Towards Effective Leader-Follower State Space Search.
|
AAAI | 2018 | 26 |
| Star-topology decoupled state space search.
|
Artificial Intelligence | 2018 | 21 |
| Simulated Penetration Testing as Contingent Planning.
|
ICAPS | 2018 | 12 |
| Unchaining the Power of Partial Delete Relaxation, Part II: Finding Plans with Red-Black State Space Search.
|
IJCAI | 2018 | 1 |
| State space search nogood learning: Online refinement of critical-path dead-end detectors in planning.
|
Artificial Intelligence | 2017 | 23 |
| Critical-Path Dead-End Detection versus NoGoods: Offline Equivalence and Online Learning.
|
ICAPS | 2017 | 1 |
| Search and Learn: On Dead-End Detectors, the Traps they Set, and Trap Learning.
|
IJCAI | 2017 | 9 |
| Beyond Red-Black Planning: Limited-Memory State Variables.
|
ICAPS | 2017 | 3 |
| Symmetry Breaking in Star-Topology Decoupled Search.
|
ICAPS | 2017 | 15 |
| Beyond Forks: Finding and Ranking Star Factorings for Decoupled Search.
|
IJCAI | 2017 | 11 |
| Complete Local Search: Boosting Hill-Climbing through Online Relaxation Refinement.
|
ICAPS | 2017 | 12 |
| Symbolic Leaf Representation in Decoupled Search.
|
SOCS | 2017 | 0 |
| Ranking Conjunctions for Partial Delete Relaxation Heuristics in Planning.
|
SOCS | 2017 | 0 |
| Towards Clause-Learning State Space Search: Learning to Recognize Dead-Ends.
|
AAAI | 2016 | 19 |
| Combining the Delete Relaxation with Critical-Path Heuristics: A Direct Characterization.
|
JAIR | 2016 | 12 |
| From OpenCCG to AI Planning: Detecting Infeasible Edges in Sentence Generation.
|
COLING | 2016 | 3 |
| Goal Probability Analysis in Probabilistic Planning: Exploring and Enhancing the State of the Art.
|
JAIR | 2016 | 32 |
| On State-Dominance Criteria in Fork-Decoupled Search.
|
IJCAI | 2016 | 10 |
| Revisiting Goal Probability Analysis in Probabilistic Planning.
|
ICAPS | 2016 | 20 |
| Practical Undoability Checking via Contingent Planning.
|
ICAPS | 2016 | 13 |
| Decoupled Strong Stubborn Sets.
|
IJCAI | 2016 | 11 |
| Partial Delete Relaxation, Unchained: On Intractable Red-Black Planning and Its Applications.
|
SOCS | 2016 | 0 |
| Simulated Penetration Testing: From "Dijkstra" to "Turing Test++".
|
ICAPS | 2015 | 80 |
| Red-black planning: A new systematic approach to partial delete relaxation.
|
Artificial Intelligence | 2015 | 82 |
| Simulation-Based Admissible Dominance Pruning.
|
IJCAI | 2015 | 23 |
| From Fork Decoupling to Star-Topology Decoupling.
|
SOCS | 2015 | 12 |
| Red-Black Planning: A New Tractability Analysis and Heuristic Function.
|
SOCS | 2015 | 6 |
| Journal Track Paper Abstracts.
|
ICAPS | 2015 | 0 |
| Explicit Conjunctions without Compilation: Computing h
|
ICAPS | 2015 | 0 |
| Beating LM-Cut with h
|
ICAPS | 2015 | 0 |
| Optimizing Planning Domains by Automatic Action Schema Splitting.
|
ICAPS | 2014 | 38 |
| Learning Pruning Rules for Heuristic Search Planning.
|
ECAI | 2014 | 9 |
| "Distance"? Who Cares? Tailoring Merge-and-Shrink Heuristics to Detect Unsolvability.
|
ECAI | 2014 | 57 |
| Improved Features for Runtime Prediction of Domain-Independent Planners.
|
ICAPS | 2014 | 51 |
| BDD Ordering Heuristics for Classical Planning.
|
JAIR | 2014 | 18 |
| Improving Delete Relaxation Heuristics Through Explicitly Represented Conjunctions.
|
JAIR | 2014 | 47 |
| Red-Black Relaxed Plan Heuristics Reloaded.
|
SOCS | 2013 | 18 |
| Who Said We Need to Relax All Variables?
|
ICAPS | 2013 | 36 |
| What's in It for My BDD? On Causal Graphs and Variable Orders in Planning.
|
ICAPS | 2013 | 7 |
| Red-Black Relaxed Plan Heuristics.
|
AAAI | 2013 | 28 |
| POMDPs Make Better Hackers: Accounting for Uncertainty in Penetration Testing.
|
AAAI | 2012 | 74 |
| SAP Speaks PDDL: Exploiting a Software-Engineering Model for Planning in Business Process Management.
|
JAIR | 2012 | 34 |
| Resource-Constrained Planning: A Monte Carlo Random Walk Approach.
|
ICAPS | 2012 | 65 |
| How to Relax a Bisimulation?
|
ICAPS | 2012 | 16 |
| Semi-Relaxed Plan Heuristics.
|
AAAI | 2012 | 52 |
| Semi-Relaxed Plan Heuristics.
|
ICAPS | 2012 | 0 |
| Where Ignoring Delete Lists Works, Part II: Causal Graphs.
|
ICAPS | 2011 | 14 |
| Analyzing Search Topology Without Running Any Search: On the Connection Between Causal Graphs and h+.
|
JAIR | 2011 | 64 |
| Computing Perfect Heuristics in Polynomial Time: On Bisimulation and Merge-and-Shrink Abstraction in Optimal Planning.
|
IJCAI | 2011 | 67 |
| Improving Local Search for Resource-Constrained Planning.
|
SOCS | 2010 | 15 |
| Waking Up a Sleeping Rabbit: On Natural-Language Sentence Generation with FF.
|
ICAPS | 2010 | 34 |
| SAP Speaks PDDL.
|
AAAI | 2010 | 26 |
| Brothers in Arms? On AI Planning and Cellular Automata.
|
ECAI | 2010 | 4 |
| Enhancing the Context-Enhanced Additive Heuristic with Precedence Constraints.
|
ICAPS | 2009 | 25 |
| Message-Based Web Service Composition, Integrity Constraints, and Planning under Uncertainty: A New Connection.
|
JAIR | 2009 | 56 |
| Friends or Foes? On Planning as Satisfiability and Abstract CNF Encodings.
|
JAIR | 2009 | 13 |
| Towards Efficient Belief Update for Planning-Based Web Service Composition.
|
ECAI | 2008 | 8 |
| Explicit-State Abstraction: A New Method for Generating Heuristic Functions.
|
AAAI | 2008 | 26 |
| SWING: An Integrated Environment for Geospatial Semantic Web Services.
|
ESWC | 2008 | 23 |
| Semantic Annotation and Composition of Business Processes with Maestro.
|
ESWC | 2008 | 31 |
| Short XORs for Model Counting: From Theory to Practice.
|
SAT | 2007 | 42 |
| Probabilistic Planning via Heuristic Forward Search and Weighted Model Counting.
|
JAIR | 2007 | 94 |
| Web Service Composition as Planning, Revisited: In Between Background Theories and Initial State Uncertainty.
|
AAAI | 2007 | 78 |
| From Sampling to Model Counting.
|
IJCAI | 2007 | 100 |
| SAT Encodings of State-Space Reachability Problems in Numeric Domains.
|
IJCAI | 2007 | 44 |
| Flexible Abstraction Heuristics for Optimal Sequential Planning.
|
ICAPS | 2007 | 275 |
| Friends or Foes? An AI Planning Perspective on Abstraction and Search.
|
ICAPS | 2006 | 18 |
| Fast Probabilistic Planning through Weighted Model Counting.
|
ICAPS | 2006 | 47 |
| Engineering Benchmarks for Planning: the Domains Used in the Deterministic Part of IPC-4.
|
JAIR | 2006 | 73 |
| Structure and Problem Hardness: Goal Asymmetry and DPLL Proofs in SAT-Based Planning.
|
ICAPS | 2006 | 20 |
| Conformant planning via heuristic forward search: A new approach.
|
Artificial Intelligence | 2006 | 0 |
| The Deterministic Part of IPC-4: An Overview.
|
JAIR | 2005 | 173 |
| A Covering Problem for Hypercubes.
|
IJCAI | 2005 | 3 |
| Where 'Ignoring Delete Lists' Works: Local Search Topology in Planning Benchmarks.
|
JAIR | 2005 | 119 |
| Contingent Planning via Heuristic Forward Search witn Implicit Belief States.
|
ICAPS | 2005 | 219 |
| In defense of PDDL axioms.
|
Artificial Intelligence | 2005 | 0 |
| Conformant Planning via Heuristic Forward Search: A New Approach.
|
ICAPS | 2004 | 214 |
| Ordered Landmarks in Planning.
|
JAIR | 2004 | 370 |
| The Metric-FF Planning System: Translating ''Ignoring Delete Lists'' to Numeric State Variables.
|
JAIR | 2003 | 424 |
| Branching Matters: Alternative Branching in Graphplan.
|
ICAPS | 2003 | 13 |
| In Defense of PDDL Axioms.
|
IJCAI | 2003 | 165 |
| Extending FF to Numerical State Variables.
|
ECAI | 2002 | 113 |
| Local Search Topology in Planning Benchmarks: An Empirical Analysis.
|
IJCAI | 2001 | 93 |
| The FF Planning System: Fast Plan Generation Through Heuristic Search.
|
JAIR | 2001 | 0 |
| On Reasonable and Forced Goal Orderings and their Use in an Agenda-Driven Planning Algorithm.
|
JAIR | 2000 | 0 |
| A New Method to Index and Query Sets.
|
IJCAI | 1999 | 41 |