Michael Katz

Affiliations:
  • IBM Thomas J. Watson Research Center, Yorktown Heights, NY, USA
  • IBM Watson Health, Haifa, Israel (former)
  • Saarland University, Department of Computer Science, Saarbrücken, Germany (former)
  • Technion - Israel Institute of Technology, Faculty of Industrial Engineering & Management, Haifa, Israel (former)


According to our database1, Michael Katz authored at least 75 papers between 2007 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Unifying and Certifying Top-Quality Planning.
CoRR, 2024

Choosing a Classical Planner with Graph Neural Networks.
CoRR, 2024

Generalized Planning in PDDL Domains with Pretrained Large Language Models.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Partially Observable Hierarchical Reinforcement Learning with AI Planning (Student Abstract).
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Large Language Models as Planning Domain Generators (Student Abstract).
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Interactive Plan Selection Using Linear Temporal Logic, Disjunctive Action Landmarks, and Natural Language Instruction.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
K∗ and Partial Order Reduction for Top-Quality Planning.
Proceedings of the Sixteenth International Symposium on Combinatorial Search, 2023

On K* Search for Top-K Planning.
Proceedings of the Sixteenth International Symposium on Combinatorial Search, 2023

Generating SAS+ Planning Tasks of Specified Causal Structure.
Proceedings of the Sixteenth International Symposium on Combinatorial Search, 2023

Action Space Reduction for Planning Domains.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

K∗ Search over Orbit Space for Top-k Planning.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

PARIS: Planning Algorithms for Reconfiguring Independent Sets.
Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

On Partial Satisfaction Planning with Total-Order HTNs.
Proceedings of the Thirty-Third International Conference on Automated Planning and Scheduling, 2023

2022
A Conflict-Driven Interface Between Symbolic Planning and Nonlinear Constraint Solving.
IEEE Robotics Autom. Lett., 2022

AI Planning Annotation for Sample Efficient Reinforcement Learning.
CoRR, 2022

On Producing Shortest Cost-Optimal Plans.
Proceedings of the Fifteenth International Symposium on Combinatorial Search, 2022

Conflict-Directed Diverse Planning for Logic-Geometric Programming.
Proceedings of the Thirty-Second International Conference on Automated Planning and Scheduling, 2022

Reinforcement Learning for Classical Planning: Viewing Heuristics as Dense Reward Generators.
Proceedings of the Thirty-Second International Conference on Automated Planning and Scheduling, 2022

Who Needs These Operators Anyway: Top Quality Planning with Operator Subset Criteria.
Proceedings of the Thirty-Second International Conference on Automated Planning and Scheduling, 2022

How to Reduce Action Space for Planning Domains? (Student Abstract).
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

Bounding Quality in Diverse Planning.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

A* Search and Bound-Sensitive Heuristics for Oversubscription Planning.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
The Fewer the Merrier: Pruning Preferred Operators with Novelty.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Custom-Design of FDR Encodings: The Case of Red-Black Planning.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Efficient Black-Box Planning Using Macro-Actions with Focused Effects.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

IBM Scenario Planning Advisor: A Neuro-Symbolic ERM Solution.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Symbolic Search for Oversubscription Planning.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Exploring Context-Free Languages via Planning: The Case for Automating Machine Learning.
Proceedings of the Thirtieth International Conference on Automated Planning and Scheduling, 2020

Online Planner Selection with Graph Neural Networks and Adaptive Scheduling.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Top-Quality Planning: Finding Practically Useful Sets of Best Plans.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Causal Knowledge Extraction through Large-Scale Text Mining.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Reshaping Diverse Planning.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
IPC: A Benchmark Data Set for Learning with Graph-Structured Data.
CoRR, 2019

IBM Scenario Planning Advisor: Plan recognition as AI planning in practice.
AI Commun., 2019

Answering Binary Causal Questions Through Large-Scale Text Mining: An Evaluation Using Cause-Effect Pairs from Human Experts.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Towards Automated Planning for Enterprise Services: Opportunities and Challenges.
Proceedings of the Service-Oriented Computing - 17th International Conference, 2019

Theoretical Foundations for Structural Symmetries of Lifted PDDL Tasks.
Proceedings of the Twenty-Ninth International Conference on Automated Planning and Scheduling, 2019

Oversubscription Planning as Classical Planning with Multiple Cost Functions.
Proceedings of the Twenty-Ninth International Conference on Automated Planning and Scheduling, 2019

Deep Learning for Cost-Optimal Planning: Task-Dependent Planner Selection.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Red-Black Heuristics for Planning Tasks with Conditional Effects.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Adaptive Planner Scheduling with Graph Neural Networks.
CoRR, 2018

IBM Scenario Planning Advisor: Plan Recognition as AI Planning in Practice.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Symmetry-Based Task Reduction for Relaxed Reachability Analysis.
Proceedings of the Twenty-Eighth International Conference on Automated Planning and Scheduling, 2018

A Novel Iterative Approach to Top-k Planning.
Proceedings of the Twenty-Eighth International Conference on Automated Planning and Scheduling, 2018

An AI Planning Solution to Scenario Generation for Enterprise Risk Management.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

Semi-Black Box: Rapid Development of Planning Based Solutions.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Strengthening Canonical Pattern Databases with Structural Symmetries.
Proceedings of the Tenth International Symposium on Combinatorial Search, 2017

Stubborn Sets for Fully Observable Nondeterministic Planning.
Proceedings of the Twenty-Seventh International Conference on Automated Planning and Scheduling, 2017

Adapting Novelty to Classical Planning as Heuristic Search.
Proceedings of the Twenty-Seventh International Conference on Automated Planning and Scheduling, 2017

2016
Structural Symmetries for Fully Observable Nondeterministic Planning.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

In Search of Tractability for Partial Satisfaction Planning.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

2015
Red-black planning: A new systematic approach to partial delete relaxation.
Artif. Intell., 2015

An Empirical Case Study on Symmetry Handling in Cost-Optimal Planning as Heuristic Search.
Proceedings of the KI 2015: Advances in Artificial Intelligence, 2015

Integrating Partial Order Reduction and Symmetry Elimination for Cost-Optimal Classical Planning.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Factored Symmetries for Merge-and-Shrink Abstractions.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

Heuristics and Symmetries in Classical Planning.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2013
Red-Black Relaxed Plan Heuristics Reloaded.
Proceedings of the Sixth Annual Symposium on Combinatorial Search, 2013

Completeness and Ambiguity of Schema Cover.
Proceedings of the On the Move to Meaningful Internet Systems: OTM 2013 Conferences, 2013

Who Said We Need to Relax All Variables?
Proceedings of the Twenty-Third International Conference on Automated Planning and Scheduling, 2013

Symmetry Breaking: Satisficing Planning and Landmark Heuristics.
Proceedings of the Twenty-Third International Conference on Automated Planning and Scheduling, 2013

Red-Black Relaxed Plan Heuristics.
Proceedings of the Twenty-Seventh AAAI Conference on Artificial Intelligence, 2013

2012
Landmark-enhanced abstraction heuristics.
Artif. Intell., 2012

How to Relax a Bisimulation?
Proceedings of the Twenty-Second International Conference on Automated Planning and Scheduling, 2012

Enhanced Symmetry Breaking in Cost-Optimal Planning as Forward Search.
Proceedings of the Twenty-Second International Conference on Automated Planning and Scheduling, 2012

Structural Patterns Beyond Forks: Extending the Complexity Boundaries of Classical Planning.
Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012

2011
Implicit abstraction heuristics for cost-optimal planning.
AI Commun., 2011

When Optimal Is Just Not Good Enough: Learning Fast Informative Action Cost Partitionings.
Proceedings of the 21st International Conference on Automated Planning and Scheduling, 2011

2010
Implicit Abstraction Heuristics.
J. Artif. Intell. Res., 2010

Optimal admissible composition of abstraction heuristics.
Artif. Intell., 2010

When Abstractions Met Landmarks.
Proceedings of the 20th International Conference on Automated Planning and Scheduling, 2010

2009
Structural-Pattern Databases.
Proceedings of the 19th International Conference on Automated Planning and Scheduling, 2009

2008
New Islands of Tractability of Cost-Optimal Planning.
J. Artif. Intell. Res., 2008

Structural Patterns Heuristics via Fork Decomposition.
Proceedings of the Eighteenth International Conference on Automated Planning and Scheduling, 2008

Optimal Additive Composition of Abstraction-based Admissible Heuristics.
Proceedings of the Eighteenth International Conference on Automated Planning and Scheduling, 2008

2007
Structural Patterns of Tractable Sequentially-Optimal Planning.
Proceedings of the Seventeenth International Conference on Automated Planning and Scheduling, 2007


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