Structural Patterns of Tractable Sequentially-Optimal Planning
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Summary
The complexity of sequentially-optimal classical planning is studied, and new problem classes for whose such optimization is tractable are discovered, based on exploiting numerous structural characteristics of planning problems, and a constructive proof technique is used.
- Type
- article
- Published
- 2007-09-22
- Cited by
- 19
- References
- 25
- OpenAlex
- https://openalex.org/W78006823
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:1179968
Keywords
Heuristics, Computer science, Constructive, Curse of dimensionality, Constraint (computer-aided design)
References
- Symbolic Pattern Databases in Heuristic Search Planning
- Solving planning domains with polytree causal graphs is NP-complete
- A Reactive Planner for a Model-based Executive
- The FF Planning System: Fast Plan Generation Through Heuristic Search
- Factored Planning: How, When, and When Not
- The Role of Macros in Tractable Planning over Causal Graphs
- State-Variable Planning Under Structural Restrictions: Algorithms and Complexity
- Planning in polynomial time: the SAS‐PUBS class
- Downward Refinement and the Efficiency of Hierarchical Problem Solving
- COMPLEXITY RESULTS FOR SAS+ PLANNING
- Automatically Generating Abstractions for Planning
- The Computational Complexity of Propositional STRIPS Planning
- Efficient planning for a miniature assembly line
- The GRT Planning System: Backward Heuristic Construction in Forward State-Space Planning
- Strucutre and Complexity in Planning with Unary Operators
- Maximizing over multiple pattern databases speeds up heuristic search
- Planning as heuristic search
- Additive Pattern Database Heuristics
- The Fast Downward Planning System
- Planning for Conjunctive Goals
Cited by
- Structural Patterns Heuristics via Fork Decomposition
- In Search of the Tractability Boundary of Planning Problems
- Tractable Cost-Optimal Planning over Restricted Polytree Causal Graphs
- Optimal Additive Composition of Abstraction-based Admissible Heuristics
- Implicit abstraction heuristics for cost-optimal planning
- Causal graphs and structurally restricted planning
- Implicit Abstraction Heuristics
- A Refined View of Causal Graphs and Component Sizes: SP-Closed Graph Classes and Beyond
- State-Dependent Cost Partitionings for Cartesian Abstractions in Classical Planning
- Narrowing the Gap Between Saturated and Optimal Cost Partitioning for Classical Planning
- Computational Complexity of some Optimization Problems in Planning
- New perspectives on cost partitioning for optimal classical planning
- Merge-and-shrink abstractions for classical planning : theory, strategies, and implementation
- Counterexample-Guided Cartesian Abstraction Refinement
- On planning with state-dependent action costs
- Saturated Cost Partitioning for Optimal Classical Planning
- Structural Patterns Heuristics: Basic Idea and Concrete Instance
- Generating Data In Planning: SAS + Planning Tasks of a Given Causal Structure
- Generating SAS + Planning Tasks of Specified Causal Structure
Related papers
- COMPLEXITY RESULTS FOR SAS+ PLANNING
- A Planning Heuristic Based on Causal Graph Analysis
- The Computational Complexity of Propositional STRIPS Planning
- The Role of Macros in Tractable Planning over Causal Graphs
- Domain-Independent Construction of Pattern Database Heuristics for Cost-Optimal Planning
- New Islands of Tractability of Cost-Optimal Planning
- The complexity of planning problems with simple causal graphs
- Additive Pattern Database Heuristics
- Strucutre and Complexity in Planning with Unary Operators