Research map / Graph learning / Graph algorithms and clustering
Learning Heuristic Functions for HTN 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
- Learning Domain-Independent Heuristics for Grounded and Lifted Planning (AAAI 2024 · similarity 0.92)
- State Encodings for GNN-Based Lifted Planners (AAAI 2025 · similarity 0.90)
- Graph Learning for Numeric Planning (NeurIPS 2024 · similarity 0.87)
- Learning Hierarchical Task Knowledge for Planning (AAAI 2025 · similarity 0.87)
- Graph Neural Network Based Action Ranking for Planning (NeurIPS 2025 · similarity 0.86)
- Efficient Lookahead Encoding and Abstracted Width for Learning General Policies in Classical Planning (NeurIPS 2026 · 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.