Bridging the Gap Between AI Planning and Reinforcement Learning (PRL)
Banff, Alberta, Canada
Aim and Scope of the Workshop
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 seventh 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.)
- Safe RL
- Monte Carlo planning
- Model representation and learning for planning
- Planning using approximated/uncertain (learned) models
- Learning search heuristics for planner guidance
- Theoretical aspects of planning and reinforcement learning
- Action policy analysis or certification
- Reinforcement learning and planning competition(s)
- Multi-agent planning and learning
- Applications of both reinforcement learning and planning
- Paper submission deadline: March 22th, AOE
- Paper acceptance notification: April 28th, AOE
ICAPS will be in-person this year. Authors of accepted workshop papers are expected to physically attend the conference and present in person.
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 AAAI 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.
Some accepted long papers will be invited for contributed talks. All accepted papers (long as well as short) and 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 submission website coming soon.
- Timo P. Gros, German Research Center for Artificial Intelligence (DFKI), Saarbrücken, Germany
- Steven James, University of the Witwatersrand, Johannesburg, South Africa
- Harsha Kokel, IBM Research, San Jose, USA
- Simon Ståhlberg, Linköping University, Linköping, Sweden
- Marcel Steinmetz, LAAS-CNRS and University of Toulouse, Toulouse, France
- Ayal Taitler, University of Toronto, Toronto, Canada
Please send your inquiries to email@example.com