Resources


Below we provide a non-exhaustive list of resources.

Tools

  • LLM-driven Planning Model library kit L2P
  • MACQ Visualizer: A Holistic View of Model Acquisition Techniques, MACQ
  • A gym env to interact with any PDDL domain, PDDLGym
  • PlanUtils: A general library for setting up Linux-based environments for developing, running, and evaluating planners, PlanUtils

Benchmarks

  • Datasets for core reasoining abilities of LMs, ACPBench and ACPBench-Hard. (website, hugging-face)
  • PlanBench
  • TRAC
  • AutoPlanBench
  • NaturalPlan
  • TravelPlanner

Previous Tutorials

  • Tutorial on Action Model Acquisition, ICAPS 2023, Christian Muise and Tathagata Chakraborti
  • Tutorial on Planning in Natural Language with Foundational Models (PLAN-FM), AAAI 2025, Harsha Kokel, Shirin Sohrabi, Soham Dan, and Manling Li
  • Tutorial on AI Planning: Theory and Practice, AAAI 2022 Shirin Sohrabi, Michael Katz, Octavian Udrea
  • Tutorial on Finding multiple plans for classical planning problems, ICAPS 2024, Shirin Sohrabi, Michael Katz, Junkyu Lee, David Speck
  • Tutorial on A Beginner’s Introduction to Heuristic Search Planning, AAAI 2015, Malte Helmert, Gabriele Röger
  • Tutorial on Latest Trends in Abstraction Heuristics for Classical Planning, ICAPS 2015, Malte Helmert, Jendrik Seipp, Silvan Sievers

Community Resources

  • A wiki for planning and PDDL, planning.wiki
  • The Planning community slack
  • Collection of tools for working with planning domains, Planning.Domains
  • Community space for AI Planning repositories on github



References


  • Make Planning Research Rigorous Again!, Michael Katz, Harsha Kokel, Christian Muise, Shirin Sohrabi, Sarath Sreedharan, In ArXiv 2025.

  • ACPBench: Reasoning about Action, Change, and Planning, Harsha Kokel, Michael Katz, Kavitha Srinivas, Shirin Sohrabi, In AAAI 2025

  • ACPBench Hard: Unrestrained Reasoning about Action, Change, and Planning, Harsha Kokel, Michael Katz, Kavitha Srinivas, Shirin Sohrabi, In LM4Plan @ AAAI 2025

  • Seemingly Simple Planning Problems are Computationally Challenging: The Countdown Game, Michael Katz, Harsha Kokel, Sarath Sreedharan, In LM4Plan @ ICAPS 2025

  • Thought of Search: Planning with Language Models Through The Lens of Efficiency, Michael Katz, Harsha Kokel, Kavitha Srinivas, Shirin Sohrabi, In NeurIPS 2024

  • Automating Thought of Search: A Journey Towards Soundness and Completeness, Daniel Cao, Michael Katz, Harsha Kokel, Kavitha Srinivas, Shirin Sohrabi, In OWA @ NeurIPS 2024

  • PlanBench: An Extensible Benchmark for Evaluating Large Language Models on Planning and Reasoning about Change, Karthik Valmeekam, Matthew Marquez, Alberto Olmo, Sarath Sreedharan, Subbarao Kambhampati, In NeurIPS 2023.

  • MACQ: A Holistic View of Model Acquisition Techniques, Ethan Callanan, Rebecca De Venezia, Victoria Armstrong, Alison Paredes, Tathagata Chakraborti, Christian Muise, 2022

Are we missing something? Welcome to contribute with a pull request or create an issue on github.