Closed editorialbot closed 2 months ago
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Reference check summary (note 'MISSING' DOIs are suggestions that need verification):
OK DOIs
- 10.1109/TSMC.1983.6313077 is OK
- 10.1613/jair.3912 is OK
- 10.1109/IROS.2012.6386109 is OK
- 10.5281/zenodo.8269265 is OK
MISSING DOIs
- No DOI given, and none found for title: Reinforcement learning: An introduction
INVALID DOIs
- None
Software report:
github.com/AlDanial/cloc v 1.90 T=0.08 s (1193.5 files/s, 159241.0 lines/s)
-------------------------------------------------------------------------------
Language files blank comment code
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Python 62 2049 702 7558
Bourne Shell 8 91 50 397
TeX 6 32 13 311
reStructuredText 9 147 125 282
CSV 1 0 0 210
Markdown 2 63 0 182
YAML 4 29 14 176
TOML 1 14 0 75
CSS 1 2 0 20
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SUM: 94 2427 904 9211
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Commit count by author:
125 Kevin Godin-Dubois
Paper file info:
📄 Wordcount for paper.md
is 1182
✅ The paper includes a Statement of need
section
License info:
✅ License found: MIT License
(Valid open source OSI approved license)
:point_right::page_facing_up: Download article proof :page_facing_up: View article proof on GitHub :page_facing_up: :point_left:
Five most similar historical JOSS papers:
Abmarl: Connecting Agent-Based Simulations with Multi-Agent Reinforcement Learning
Submitting author: @rusu24edward
Handling editor: @drvinceknight (Active)
Reviewers: @seba-1511, @abhiramm7
Similarity score: 0.6818
OMG: A Scalable and Flexible Simulation and Testing Environment Toolbox for Intelligent Microgrid Control
Submitting author: @stheid
Handling editor: @dhhagan (Retired)
Reviewers: @katyhuff, @gonsie
Similarity score: 0.6779
sbp-env: A Python Package for Sampling-based Motion Planner and Samplers
Submitting author: @soraxas
Handling editor: @danielskatz (Active)
Reviewers: @KanishAnand, @OlgerSiebinga
Similarity score: 0.6758
OTTO: A Python package to simulate, solve and visualize the source-tracking POMDP
Submitting author: @auroreloisy
Handling editor: @VivianePons (Retired)
Reviewers: @11michalis11, @RomainAzais
Similarity score: 0.6673
gym-saturation: an OpenAI Gym environment for saturation provers
Submitting author: @inpefess
Handling editor: @VivianePons (Retired)
Reviewers: @lutzhamel, @quickbeam123
Similarity score: 0.6640
⚠️ Note to editors: If these papers look like they might be a good match, click through to the review issue for that paper and invite one or more of the authors before considering asking the reviewers of these papers to review again for JOSS.
@editorialbot invite @ymzayek as editor
:wave: @ymzayek - do you think you could take this one on as editor? Thanks!
Invitation to edit this submission sent!
@crvernon I'm happy to take it but I'm not very available until July 15th. If that's ok feel free to assign it to me and I'll at least get it going right away with trying to find reviewers
@editorialbot add @ymzayek as editor
@ymzayek that's perfect, thank you!
Assigned! @ymzayek is now the editor
@editorialbot generate pdf
:point_right::page_facing_up: Download article proof :page_facing_up: View article proof on GitHub :page_facing_up: :point_left:
@editorialbot check references
Five most similar historical JOSS papers:
Abmarl: Connecting Agent-Based Simulations with Multi-Agent Reinforcement Learning
Submitting author: @rusu24edward
Handling editor: @drvinceknight (Active)
Reviewers: @seba-1511, @abhiramm7
Similarity score: 0.6755
OMG: A Scalable and Flexible Simulation and Testing Environment Toolbox for Intelligent Microgrid Control
Submitting author: @stheid
Handling editor: @dhhagan (Retired)
Reviewers: @katyhuff, @gonsie
Similarity score: 0.6754
sbp-env: A Python Package for Sampling-based Motion Planner and Samplers
Submitting author: @soraxas
Handling editor: @danielskatz (Active)
Reviewers: @KanishAnand, @OlgerSiebinga
Similarity score: 0.6717
OTTO: A Python package to simulate, solve and visualize the source-tracking POMDP
Submitting author: @auroreloisy
Handling editor: @VivianePons (Retired)
Reviewers: @11michalis11, @RomainAzais
Similarity score: 0.6620
gym-saturation: an OpenAI Gym environment for saturation provers
Submitting author: @inpefess
Handling editor: @VivianePons (Retired)
Reviewers: @lutzhamel, @quickbeam123
Similarity score: 0.6574
⚠️ Note to editors: If these papers look like they might be a good match, click through to the review issue for that paper and invite one or more of the authors before considering asking the reviewers of these papers to review again for JOSS.
Reference check summary (note 'MISSING' DOIs are suggestions that need verification):
OK DOIs
- 10.1109/TSMC.1983.6313077 is OK
- 10.1613/jair.3912 is OK
- 10.1109/IROS.2012.6386109 is OK
- 10.5281/zenodo.8269265 is OK
MISSING DOIs
- No DOI given, and none found for title: Reinforcement learning: An introduction
INVALID DOIs
- None
Hi @kgd-al, thank you for submitting to JOSS. I am the handling editor for this submission.
Do you have any suggestion for reviewers?
If you have suggestions, please provide a list of potential reviewers here but do not use the @ character to avoid receiving unwanted notifications.
And finally, can you check the missing DOI listed here: https://github.com/openjournals/joss-reviews/issues/6945#issuecomment-2203405335 ?
Thank you in advance.
Hi @ymzayek and thanks for handling the edition of this submission.
I do not have any specific suggestion for the reviewers but based on the articles editorialbot listed:
The missing doi is coming from a book for which there seems to only be an ISBN. How should I proceed?
@kgd-al ok for the missing DOI. Thanks for the list!
Hello @lutzhamel, @KanishAnand and @gonsie ,
Would you be willing to assist in reviewing this submission for JOSS (Journal of Open Source Software)?
JOSS publishes articles about open source research software. The submission I'd like you to review is titled:
AMaze: a benchmark generator for sighted maze-navigating agents
You can find more information at the top of this Github issue (https://github.com/openjournals/joss-reviews/issues/6945).
The review process at JOSS is unique: it takes place in a GitHub issue, is open, and author-reviewer-editor conversations are encouraged. If you have any questions please let me know.
This is the pre-review issue. After setting at least 2 reviewers we will start the review process in a separate thread. In that thread, there will be 23 check items for each single reviewer.
Thank you in advance!
Sorry, this is too outside of my field. Thanks.
Hello @abhiramm7 and @seba-1511,
Would you be willing to assist in reviewing this submission for JOSS (Journal of Open Source Software)?
JOSS publishes articles about open source research software. The submission I'd like you to review is titled:
AMaze: a benchmark generator for sighted maze-navigating agents
You can find more information at the top of this Github issue (https://github.com/openjournals/joss-reviews/issues/6945).
The review process at JOSS is unique: it takes place in a GitHub issue, is open, and author-reviewer-editor conversations are encouraged. If you have any questions please let me know.
This is the pre-review issue. After setting at least 2 reviewers we will start the review process in a separate thread. In that thread, there will be 23 check items for each single reviewer.
Thank you in advance!
@ymzayek I would be happy to review the work.
Thanks @abhiramm7! Once we find one or two other reviewers we will begin the review process in another thread.
@kgd-al do you have any other reviewers you can suggest?
@ymzayek Well according to the guidelines at the top, we should consider the authors from the 5 most similar papers. Meaning:
Hello @rusu24edward, @stheid, and @soraxas
Would you be willing to assist in reviewing this submission for JOSS (Journal of Open Source Software)?
JOSS publishes articles about open source research software. The submission I'd like you to review is titled:
AMaze: a benchmark generator for sighted maze-navigating agents
You can find more information at the top of this Github issue (https://github.com/openjournals/joss-reviews/issues/6945).
The review process at JOSS is unique: it takes place in a GitHub issue, is open, and author-reviewer-editor conversations are encouraged. If you have any questions please let me know.
This is the pre-review issue. After setting at least 2 reviewers we will start the review process in a separate thread. In that thread, there will be 23 check items for each single reviewer.
Thank you in advance!
sure
I'm currently in the process of reviewing another repo, and will pass on this, thanks.
No problem @soraxas
I think we can get the review process started with @stheid and @abhiramm7
@stheid and @abhiramm7 thanks for agreeing to review this paper.
The review will start in a separate thread.
@kgd-al you can follow the review in the new review issue that will be opened.
@editorialbot start review
Can't start a review without reviewers
@editorialbot add @stheid as reviewer
@stheid added to the reviewers list!
@editorialbot add @abhiramm7 as reviewer
@abhiramm7 added to the reviewers list!
@editorialbot start review
OK, I've started the review over in https://github.com/openjournals/joss-reviews/issues/7208.
Submitting author: !--author-handle-->@kgd-al<!--end-author-handle-- (Kevin Godin - Dubois) Repository: https://github.com/kgd-al/amaze Branch with paper.md (empty if default branch): joss Version: 1.0rc1 Editor: !--editor-->@ymzayek<!--end-editor-- Reviewers: @stheid, @abhiramm7 Managing EiC: Chris Vernon
Status
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Thanks for submitting your paper to JOSS @kgd-al. Currently, there isn't a JOSS editor assigned to your paper.
@kgd-al if you have any suggestions for potential reviewers then please mention them here in this thread (without tagging them with an @). You can search the list of people that have already agreed to review and may be suitable for this submission.
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