KEY DATES
- Submissions due: 20 January 2027 AOE (Anywhere on Earth)
- Decisions announced: 26 February 2027 AOE
- Conference: 6–9 July 2027
We invite extended abstracts for contributed poster presentations and oral presentations. We welcome submissions of original research related to “learning and decision making over time to achieve a goal”, coming from any discipline or disciplines, describing empirical results from human, animal or animal experiments, and/or theoretical work, simulations and modeling. Contributions should be aimed at an interdisciplinary audience, but not at the expense of technical excellence. This is an abstract-based meeting, with no published conference proceedings. As such, work that is intended for, or has been submitted to, other conferences or journals is also welcome, provided that the intent of communication to other disciplines is clear.
Note: Authors will be able to decide whether they wish to include the full extended abstract in the (electronic) abstract booklets, or whether they prefer to include only the abstract (without extended materials). In either case the extended abstract is required for submission as it will be used for reviewing.
LLM Policy
RLDM maintains a relatively light but strict policy on LLM use:
1. Authors must disclose any use of LLMs in the creation of their work, and must accept full responsibility for their work.
2. Reviewers cannot use LLMs in any way as part of the review process.
Authors should include a statement below their acknowledgements (included in the template) indicating if and how LLMs were used.
HOW TO SUBMIT
Please click the following link to access our submission portal: LINK coming soon!
Submissions should consist of a summary (max 2000 characters; text only), and an extended abstract of between one and four pages (including figures and references). We strongly encourage authors to prepare their submissions using the LaTeX and RTF templates provided below. We also included links to sample submissions for formatting guidance.
Submissions will be reviewed for relevance to the topic and for quality. Exceptional abstracts will be selected for oral presentations and for poster spotlight presentations.
Submissions are single blind, so author names should appear on submitted PDFs.
LaTex Template: rldmsubmit.sty
LaTex Sample: rldm.tex
Abstract Sample: rldm.pdf
RTF Template: rldm.rtf
Acknowledgment
The Microsoft CMT service was used for managing the peer-reviewing process for this conference. This service was provided for free by Microsoft and they bore all expenses, including costs for Azure cloud services as well as for software development and support.