The 4th Multidisciplinary Conference on
Reinforcement Learning and Decision Making (RLDM2019)
July 7-10 2019, McGill University Montréal, Québec, CANADA
Submissions to RLDM2019 are now being accepted at https://cmt3.research.microsoft.com/RLDM2019
Deadline: 15 February 2019, 11:59PM PST
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 animat 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.
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). LaTeX and RTF templates, and sample submissions, are available below.
Note: Only the summary will be made available in the (electronic) abstract booklets. The extended abstract will be used for reviewing, and will be available online only pending on authors’ separate explicit permission. Online availability will have no bearing on the review process and authors are encouraged to include new, unpublished, findings which they do not want to make publicly available.
To submit your abstract please go to https://cmt3.research.microsoft.com/RLDM2019
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.
To ensure that you receive future announcements about this meeting and future RLDM meetings please join our mailing list at http://tinyurl.com/RLDMlist (you must log in to google to see the “join list” button, and choose “all email” from the options at the bottom).