| --- |
| license: other |
| pretty_name: "CoRL Papers (Conference on Robot Learning)" |
| language: |
| - en |
| tags: |
| - robotics |
| - robot-learning |
| - papers |
| - proceedings |
| - pdf |
| task_categories: |
| - other |
| size_categories: |
| - 1K<n<10K |
| --- |
| |
| # CoRL Papers — Conference on Robot Learning (PDF archive) |
|
|
| A full-text **PDF archive of accepted papers** from the *Conference on Robot |
| Learning (CoRL)*, organized by year, with per-paper metadata. Mirrored from the |
| official PMLR proceedings for personal research and archival use. |
|
|
| ## Coverage |
|
|
| | Year | Edition | Venue | PMLR | Papers | |
| |------|---------|-------|------|-------:| |
| | 2025 | 9th | Seoul, Korea | v305 | 263 | |
| | 2024 | 8th | Munich, Germany | v270 | 264 | |
| | 2023 | 7th | Atlanta, USA | v229 | 201 | |
| | 2022 | 6th | Auckland, NZ | v205 | 197 | |
| | 2021 | 5th | London, UK | v164 | 166 | |
| | 2020 | 4th | Virtual | v155 | 165 | |
| | **Total** | | | | **1256** | |
|
|
| *CoRL 2026 (10th) has not taken place yet — it is held later in 2026, so no |
| proceedings exist at time of archival.* |
|
|
| ## Structure |
|
|
| ``` |
| <year>/ |
| papers.csv # key, title, authors, filename, pdf_url, abs_url |
| <pmlrkey>_<slug>.pdf e.g. huang21a_learning-a-decision-module.pdf |
| ``` |
|
|
| `<pmlrkey>` is the PMLR paper id (e.g. `huang21a`). Only the **main** paper PDF is |
| archived (supplementary `-supp.pdf` files are excluded). |
|
|
| ## Usage |
|
|
| ```python |
| from huggingface_hub import snapshot_download |
| path = snapshot_download("Ngseo/corl-papers", repo_type="dataset", |
| allow_patterns=["2024/*"]) # one year |
| import pandas as pd |
| df = pd.read_csv(f"{path}/2024/papers.csv") |
| ``` |
|
|
| ## Source & license |
|
|
| PDFs from the official PMLR proceedings (`https://proceedings.mlr.press/`, |
| volumes v155/v164/v205/v229/v270/v305). Copyright remains with the respective |
| authors; CoRL/PMLR papers are typically released by their authors under CC BY. |
| This archive is a convenience mirror — cite the original papers and CoRL. |
|
|
