RLNQ 2021: Workshop on Reinforcement Learning in Networks and Queues Virtual conference only China, June 14, 2021 |
Conference website | https://ngast.github.io/rlnq/ |
Submission link | https://easychair.org/conferences/?conf=rlnq2021 |
Abstract registration deadline | April 30, 2021 |
Submission deadline | April 30, 2021 |
The workshop aims to revisit the development and the application of reinforcement learning techniques in the various application areas covered by the SIGMETRICS conference. Topics include but are not limited to queueing networks (scheduling, resource allocations), cloud computing, cyber-physical systems (including the smart grid), computer and communication networks, etc. This workshop aims to bring together researchers working on the theoretical aspects and the application of reinforcement learning techniques. It is intended to provide a focus on reinforcement learning techniques at SIGMETRICS conferences for talks on early research on the subject.
Submission Guidelines
We aim to gather talks based on recent research results (including work in progress or work that have been submitted to a journal) as well as recently published results in other conferences or journals. Thus, part of the goal is to complement and supplement the SIGMETRICS Conference program with such talks without removing any theoretical contributions from the main technical program.
We accept two kinds of contributions:
- Abstract (1 page, single-column)
- Short-papers (3-page short papers, using the standard PER format).
Abstracts should contain a link to a full paper (previously published paper or preprint) on which the talk will be based. Unpublished or work-in-progress work should be submitted as short-papers.
Committees
Program Committee
- Konstantin Avrachenkov
- Sid Bannerjee
- Sem Borst
- Ana Busic
- Richard Combes
- Quanquan Gu
- Niao He
- Longbo Huang
- Gerr Koole
- Siva Maguluri
- Eytan Modiano
- Gergely Neu
- Sanjay Shakkottai
- Jinwoo Shin
- Adam Weirman
- Lei Ying
- Zhouran Yang
Organizing committee
- Nicolas Gast, Inria
- Neil Walton, University of Manchester
- Mengdi Wang, Deepmind
- Kuang Xu, Stanford
Invited Speakers
- Jim Dai
Venue : virtual event only
The workshop is part of Sigmetrics' workshop and will be held on Monday (one day prior to the Sigmetrics main conference).
Due to the current covid-19 situation, the workshop will be held virtual.
Contact
All questions about submissions should be emailed to nicolas.gast@inria.fr.