Bridging the Gap Between AI Planning and Reinforcement Learning (PRL @ ICAPS 2023)
ICAPS'23 Workshop
Prague, Czech Republic
July 9-10, 2023
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 fifth edition of the PRL workshop series.
** Some of the accepted papers will be invited to be presented at the IJCAI edition of the workshop as well. **
We invite submissions at the intersection of AI Planning and Reinforcement Learning. The topics of interest include, but are not limited to, the following
Please refer to the PRL workshop website for the latest information.
New Paper submission deadline: March 30th, AOE
Paper acceptance notification: April 27th, AOE
We solicit workshop paper submissions relevant to the above call of the following types:
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 submissions should be made through OpenReview.
Please send your inquiries to prl.the...@gmail.com