View PDF ↗
PDF Viewer
Open Full PDF

BUILDER'S SANDBOX

Build This Paper

Use an AI coding agent to implement this research.

OpenAI Codex
OpenAI CodexAI Agent

Lightweight coding agent in your terminal.

Claude Code
Claude CodeAI Agent

Agentic coding tool for terminal workflows.

AntiGravity IDE
AntiGravity IDEScaffolding

AI agent mindset installer and workflow scaffolder.

Cursor
CursorIDE

AI-first code editor built on VS Code.

VS Code
VS CodeIDE

Free, open-source editor by Microsoft.

Estimated $9K - $13K over 6-10 weeks.

See exactly what it costs to build this -- with 3 comparable funded startups.

7-day free trial. Cancel anytime.

Discover the researchers behind this paper and find similar experts.

7-day free trial. Cancel anytime.

References (28)

[1]
Weisfeiler-Leman Features for Planning: A 1,000,000 Sample Size Hyperparameter Study
2025Dillon Z. Chen
[2]
Symmetry-Aware Transformer Training for Automated Planning
2025Markus Fritzsche, Elliot Gestrin et al.
[3]
Effective Data Generation and Feature Selection in Learning for Planning
2025Mingyu Hao, Dillon Z. Chen et al.
[4]
WLPlan: Relational Features for Symbolic Planning
2024Dillon Z. Chen
[5]
Learning General Policies for Planning through GPT Models
2024Nicholas Rossetti, Massimiliano Tummolo et al.
[6]
Return to Tradition: Learning Reliable Heuristics with Classical Machine Learning
2024Dillon Z. Chen, Felipe W. Trevizan et al.
[7]
Enhancing GPT-Based Planning Policies by Model-Based Plan Validation
2024Nicholas Rossetti, Massimiliano Tummolo et al.
[8]
Position: LLMs Can't Plan, But Can Help Planning in LLM-Modulo Frameworks
2024Subbarao Kambhampati, Karthik Valmeekam et al.
[9]
LLM+P: Empowering Large Language Models with Optimal Planning Proficiency
2023B. Liu, Yuqian Jiang et al.
[10]
Mastering Diverse Domains through World Models
2023Danijar Hafner, J. Pašukonis et al.
[11]
Learning Generalized Policies Without Supervision Using GNNs
2022Simon Ståhlberg, Blai Bonet et al.
[12]
Generalized Planning as Heuristic Search
2021Javier Segovia Aguas, Sergio Jiménez Celorrio et al.
[13]
Generalized Planning With Deep Reinforcement Learning
2020Or Rivlin, Tamir Hazan et al.
[14]
Learning Domain-Independent Planning Heuristics with Hypergraph Networks
2019William Shen, Felipe W. Trevizan et al.
[15]
Learning Latent Dynamics for Planning from Pixels
2018Danijar Hafner, T. Lillicrap et al.
[16]
How Powerful are Graph Neural Networks?
2018Keyulu Xu, Weihua Hu et al.
[17]
Relational inductive biases, deep learning, and graph networks
2018P. Battaglia, Jessica B. Hamrick et al.
[18]
World Models
2018David R Ha, J. Schmidhuber
[19]
THE REDUCTION OF A GRAPH TO CANONICAL FORM AND THE ALGEBRA WHICH APPEARS THEREIN
2018A. Leman
[20]
Action Schema Networks: Generalised Policies with Deep Learning
2017Sam Toyer, Felipe W. Trevizan et al.

Showing 20 of 28 references

Founder's Pitch

"Develop a planning system leveraging learned transition models for efficient generalization across planning problems."

AI PlanningScore: 6View PDF ↗

Commercial Viability Breakdown

0-10 scale

High Potential

1/4 signals

2.5

Quick Build

3/4 signals

7.5

Series A Potential

1/4 signals

2.5

Sources used for this analysis

arXiv Paper

Full-text PDF analysis of the research paper

GitHub Repository

Code availability, stars, and contributor activity

Citation Network

Semantic Scholar citations and co-citation patterns

Community Predictions

Crowd-sourced unicorn probability assessments

Analysis model: GPT-4o · Last scored: 2/26/2026

Explore the full citation network and related research.

7-day free trial. Cancel anytime.

Understand the commercial significance and market impact.

7-day free trial. Cancel anytime.

Get detailed profiles of the research team.

7-day free trial. Cancel anytime.