Invitation to the AAMAS-26 Tutorial "Domain Model Learning for Automated Planning"
Leonardo Lamanna
[Apologies if you receive multiple copies of this email]
Dear planning and learning enthusiasts,
We are pleased to invite you to attend the tutorial “Domain Model Learning for Automated Planning”, to be held at AAMAS 2026 in Paphos, Cyprus, on May 26th (half-day), which covers the foundations, recent advances in techniques and tools, and open challenges for automated domain-model learning.
Automated planning heavily relies on the availability of planning domain models that describe the environment dynamics. However, handcrafting such models is widely known to be time-consuming, prone to errors, and to require extensive knowledge about the environments. For these reasons, the AI planning community has proposed several theories and algorithms that automatically learn domain models.
The tutorial is aimed at researchers, practitioners, and students interested in techniques for learning planning domain models. The objective of this tutorial is to give participants a clear overview of state-of-the-art methods for learning domain models under different assumptions (e.g., partially or noisy observability), to enable them to effectively use open-source frameworks and tools for domain-model learning, and to highlight open research challenges at the intersection of machine learning and symbolic planning.
If you have any questions, please do not hesitate to contact us. Further details about the tutorial are available on the tutorial and AAMAS-2026 websites:
https://domain-learning.github.io/aamas-2026
https://cyprusconferences.org/aamas2026/tutorials/#domain-model
We look forward to your participation in this AAMAS-26 tutorial!
Organizing Committee:
Prof. Roni Stern, Ben Gurion University of the Negev (BGU)
Dr. Leonardo Lamanna, Fondazione Bruno Kessler (FBK)