Instruction for Authors

Paper Submission Requirements and Instructions

Papers may be submitted through OpenReview, via the link at the top of this page. All submissions should comply with the format and length indicated below.  CoRL is double-blind, which means all papers must be anonymized. The submitted papers and reviews will be publicly accessible, but only accepted papers will be de-anonymized. At least two reviewers will review submitted papers. Accepted papers will appear in the Proceedings of Machine Learning Research (formerly JMLR Workshop and Conference Proceedings).

Manuscript Template

Accepted papers will be published in PMLR. The LaTex manuscript template is available here.

Key Dates (for regular papers)

Paper submission open: May 13, 2024

Paper submission deadline: June 6, 2024

Editorial Rejection:

Reviews available: Aug 1, 2024                   

Rebuttals and revisions due: Aug 13, 2024

Paper acceptance notifications: Aug 28, 2024

Camera ready papers due: Oct 14, 2024

Submission Requirements and Instructions (for regular papers)

Submissions are due June 6, 2024 at 23:59 Pacific Time with supplementary material. 

The page limit will be up to eight pages, plus references. Authors will have the option to submit a supplementary file containing further details, which the reviewers may decide to consult, as well as a supplementary video. All supplementary materials will be submitted through OpenReview as a single zip file.

All accepted papers will be presented in poster sessions, while selected papers will be invited for an oral spotlight presentation.

Submission Policy

We will not accept papers that are identical or substantially similar to papers that have previously been published or accepted for publication in an archival venue, nor papers submitted in parallel to other conferences or archival venues. Archival venues include conferences and journals with formally published proceedings, but do not include non-archival workshops. Submission is permitted for papers that have previously appeared only as a technical report, e.g. in arXiv.