Papers may be submitted through CMT, via https://cmt3.research.microsoft.com/CoRL2020. Submissions are due July 28, 2020 at 23:59 Pacific Time. All submissions should comply with the format and length indicated below. CoRL is double-blind, which means all papers must be anonymized. The reviewing process is strictly confidential and both accepted papers and supplemental material will not become public until a few weeks before the conference.
Submissions will consist of papers up to eight pages in length (plus up to two additional pages of 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 CMT as a single zip file. Submitted papers will be reviewed by at least two reviewers. Accepted papers will appear in the Proceedings of Machine Learning Research (formerly JMLR Workshop and Conference Proceedings).
Accepted papers will be presented in long talks, spotlights, and/or posters.
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. 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.
Software Submission Instructions
Authors are encouraged to submit code alongside the paper. Authors should provide a readme file explaining how to run the author's software, and, when applicable, how to use it to replicate experimental results given in the article. For code that include files not directly relevant to the scientific contribution of the paper, authors should indicate in the readme file which part of the code pertains to the scientific claims of the paper to ease the review process.
By default and unless authors specify a different license scheme, the code submitted along the paper will be protected under exclusive copyright linked to the paper ID. Reviewers will be strictly forbidden to use the code outside the review process.
Use of Code / Citation / Licensing
Be aware that you must always cite your sources, including in code you may be using for your research. Failing to do so may lead others to believe that you are the authors of the code, which would be considered as plagiarism. Authors are requested to explicit cite sources in the code header and in the readme file.
Authors must also ensure that they have a license to modify or use other people's code. See https://choosealicense.com/no-permission/ for information on how to act when you find code on the web that does not have a specific license.