Offline Reinforcement Learning Workshop

Neural Information Processing Systems (NeurIPS)

December 12, 2020

@OfflineRL ยท #OFFLINERL2020

We invite submissions in the area of offline RL, towards answering questions including, but not limited to:
  • open problems in offline RL
  • theoretical understanding of offline (or batch RL) methods
  • offline model selection, off-policy evaluation, and theoretical limitations
  • properties of supervision needed to guarantee the success of offline RL methods
  • practical applications of offline RL and how these guide novel problem formulations
  • connections with related areas (e.g., causal inference, optimization, self-supervised learning, uncertainty)
  • relationship and integration with the conventional online RL paradigms
  • evaluation protocols, benchmarks, and datasets

For a more detailed summary of questions we are particularly excited about, please visit the front page. We welcome theoretical and/or empirical contributions. We are especially excited about work at the intersection of several of these questions.

We shall accept submissions of up to 8 pages of content (with no limit on references and supplementary material) that have not been previously accepted at an archival venue (such as ICML, NeurIPS, ICLR). While up to 8 pages of content is allowed, we strongly encourage authors to limit their submission to 4-6 pages, to ensure higher quality reviewer feedback. Papers can utilize any style file they want (for e.g., ICML, NeurIPS, ICLR) and should be anonymized for double blind review.

Evaluation Criteria: We plan to evaluate papers on clarity, potential impact, significance, and novelty of the proposed ideas. We are happy to accept works-in-progress to encourage discussion at the workshop. All accepted papers will be advertised on the workshop website in the form of a poster or recorded talk videos and camera-ready papers and are non-archival.

Day of workshop December 12, 2020
Submission site opens September 1, 2020
Submission site
Submission deadline October 9, 2020, 11:59pm Pacific
Reviewing starts October 10, 2020, 11:59pm Pacific
Reviews due October 23, 2020, 11:59pm Pacific
Decisions announced October 30, 2020, 11:59pm Pacific
Camera-ready and video submission due November 12, 2020, 11:59pm Pacific>