PRL @ ICAPS 2025
ICAPS’25
Melbourne, Victoria, Australia
Date: November, day tba, 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 ninth 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
- Reinforcement learning (model-based, Bayesian, deep, hierarchical, etc.)
- Learning for planning (L4P)
- Generalized planning
- Monte Carlo planning
- Model representation
- Model learning
- Planning using approximated/uncertain (learned) models
- Learning search heuristics for planner guidance
- Theoretical aspects of planning and reinforcement learning
- Dataset and Benchmarks across planning and RL
- Action policy analysis or certification
- Reinforcement learning and planning competition(s)
- Multi-agent planning and learning
- Applications of both (reinforcement) learning and planning
Important Dates
- Paper submission deadline: August 1, AOE
- Paper acceptance notification: August 31, AOE
ICAPS 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
Please format submissions in ICAPS style (see instructions in the Author Kit). 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 ICAPS conference to the workshop. As this workshop is non-archival, you may submit already accepted papers from other conferences if they fit the workshops’s scope.
Some accepted long papers will be invited for contributed talks and potentially also a slot in the poster presentation session. 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. The submission link will be added shortly.
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, Delft University of Technology, Delft, Netherlands.
- Forest Agostinelli, University of South Carolina, Columbia, USA.
- Dillon Ze Chen, Laboratory for Analysis and Architecture of Systems (LAAS-CNRS), Toulouse, France.
- Floris den Hengst, Vrije Universiteit, Amsterdam, Netherlands.
- Timo P. Gros, German Research Center for Artificial Intelligence (DFKI), Saarbrücken, Germany.
- Ayal Taitler, Ben-Gurion University, Be’er Sheva, Israel.
Please send your inquiries to prl.theworkshop@gmail.com