Research map / Learning theory and algorithms / Combinatorial and search optimization
Not Everything Is Permitted: Constrained Cartesian Abstractions for Optimal Classical Planning
Read the paperCheck your idea against 108,967 papers
AI-extracted summary. Written by AI from the paper's title only (no summary yet). Numbers and claims can be wrong or missing context, so check the paper before you cite or build on it.
Closest papers by meaning
- When CEGAR Meets Regression: A Love Story in Optimal Classical Planning (AAAI 2024 · similarity 0.88)
- Learning Planning Domains from Non-redundant Fully-Observed Traces: Theoretical Foundations and Complexity Analysis (AAAI 2024 · similarity 0.87)
- An Automatic Sound and Complete Abstraction Method for Generalized Planning with Baggable Types (AAAI 2025 · similarity 0.86)
- PDBs Go Numeric: Pattern-Database Heuristics for Simple Numeric Planning (AAAI 2025 · similarity 0.86)
- Towards Practical Classical Planning Compilations of Numeric Planning (AAAI 2025 · similarity 0.86)
- An Effective Polynomial Technique for Compiling Conditional Effects Away (AAAI 2024 · similarity 0.86)
Writing a paper in this area? scime draft is a free LaTeX editor with AI included, real-time co-authors and a check of your references and venue rules before you submit. It also imports OpenAI Prism projects.
