PRL @ AAAI 2025

AAAI’25
Philadelphia, Pennsylvania, USA
Date: March 4, 2025
prl.theworkshop@gmail.com

Aim and Scope

While AI Planning and Reinforcement Learning communities focus on similar sequential decision-making problems, these communities remain somewhat unaware of each other on specific problems, techniques, methodologies, and evaluations.

This workshop aims to encourage discussion and collaboration between researchers in the fields of AI planning and reinforcement learning. We aim to bridge the gap between the two communities, facilitate the discussion of differences and similarities in existing techniques, and encourage collaboration across the fields. We solicit interest from AI researchers that work in the intersection of planning and reinforcement learning, in particular, those that focus on intelligent decision-making. This is the eigth edition of the PRL workshop series that started at ICAPS 2020.

Topics of Interest

We invite submissions at the intersection of AI Planning and Reinforcement Learning. The topics of interest include, but are not limited to, the following

• Model-Based, Hierarchical and Safe Reinforcement Learning
• Monte Carlo planning
• Model representation and learning for planning
• Planning using approximated/uncertain (learned) models
• Learning to Search
• Theoretical aspects of planning and RL
• Action policy analysis or certification
• RL and Planning competition(s), datasets, and benchmarks
• Multi-agent planning and learning
• Applications combining RL and Planning
• Integration of planning and RL for hierarchical approaches
• Integrating Planning and RL for exploration (Planning-based exploration in RL)
• Combining RL and Planning for interpretability and explanations

Important Dates

• Paper submission deadline: Sunday, November 24th 29th, 2024 (AOE) (extended)
• Paper acceptance notification: Monday, December 9th 11th, 2024 (AOE)

Submission site: OpenReview

AAAI will be in-person this year. Authors of accepted workshop papers are expected to physically attend the conference and present in person.

Submission Details

We solicit workshop paper submissions relevant to the above call of the following types:

• Long papers – up to 8 pages + unlimited references / appendices
• Short papers – up to 4 pages + unlimited references / appendices
• Extended abstracts – up to 2 pages + unlimited references/appendices

Papers must be formatted in AAAI two-column, camera-ready style; see the AAAI-25 author kit for details. Authors submitting papers rejected from other conferences, please ensure you do your utmost to address the comments given by the reviewers. Please do not submit papers that are already accepted for the main AAAI conference to the workshop.

Some accepted long papers will be invited for contributed talks. All other accepted papers (long and short) and accepted extended abstracts will be given a slot in the poster presentation session. Extended abstracts are intended as brief summaries of already published papers, preliminary work, position papers, or challenges that might help bridge the gap.

As the main purpose of this workshop is to solicit discussion, the authors are invited to use the appendix of their submissions for that purpose.

Paper submissions should be made through OpenReview.

We do not insist on papers being submitted anonymously initially; this decision is left to the discretion of the author. If a paper is simultaneously being considered at a venue where anonymity is required, you have the option to submit it without author details, considering the possibility of a shared reviewer pool. However, please be aware that upon acceptance, the paper will be publicly posted on the PRL website with full author information.

Organizing Committee

• Zlatan Ajanović, RWTH Aachen, Aachen, Germany
• Timo P. Gros, German Research Center for Artificial Intelligence (DFKI), Saarbrücken, Germany
• Floris den Hengst, University of Amsterdam, Amsterdam, Netherlands
• Daniel Höller, Saarland University, Saarbrücken, Germany
• Harsha Kokel, IBM Research, San Jose, USA
• Ayal Taitler, Ben-Gurion University, Be’er Sheva, Israel

Please send your inquiries to prl.theworkshop@gmail.com

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