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[PRE REVIEW]: madupite: A High-Performance Distributed Solver for Large-Scale Markov Decision Processes #7247
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Five most similar historical JOSS papers: PyBADS: Fast and robust black-box optimization in Python pyOptSparse: A Python framework for large-scale constrained nonlinear optimization of sparse systems Pakman: a modular, efficient and portable tool for approximate Bayesian inference PySD: System Dynamics Modeling in Python pymdp: A Python library for active inference in discrete state spaces |
👋 @gmatilde - thanks for your submission. While I look for an editor, you could work on the possibly missing DOIs that editorialbot suggests, but note that some may be incorrect. Please feel free to make changes to your .bib file, then use the command |
👋 @faroit - would you be able to edit this JOSS submission? |
@editorialbot invite @faroit as editor |
Invitation to edit this submission sent! |
@danielskatz sorry this is outside of my domain but can probably contribute reviewers once an editor is found |
👋 @logological - Do you think that you could edit this JOSS submission? |
@editorialbot invite @logological as editor |
Invitation to edit this submission sent! |
Dear Daniel, thanks a lot for your message. We have just added the missing DOIs. |
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@gmatilde - thanks, though it looks like a couple more changes are still needed... (maybe you're working on them now) |
yes :) I just pushed again |
this is a list of reviewers who we think might be interested in reviewing our paper:
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Five most similar historical JOSS papers: PyBADS: Fast and robust black-box optimization in Python pyOptSparse: A Python framework for large-scale constrained nonlinear optimization of sparse systems Pakman: a modular, efficient and portable tool for approximate Bayesian inference PySD: System Dynamics Modeling in Python pymdp: A Python library for active inference in discrete state spaces |
It's a bit outside my area but I could take it on if there's no one more suitable available. I'm at a conference this week but could start the editing process next week. |
Thanks @logological - Given loads on existing reviewers, I'm happy that you are willing to do this. I'll assign it to you now, but no there's no need to start it until next week... |
@editorialbot assign @logological as editor |
Assigned! @logological is now the editor |
@gmatilde I'm now ready to start the editing process – thanks for bearing with me. I see no obvious problems with your suggested reviewers so I'll go ahead and start inviting them. |
hi @logological , currently reviewing 2 submissions already, but thank you for consideration. |
@sixpearls We've received a submission entitled "madupite: A High-Performance Distributed Solver for Large-Scale Markov Decision Processes". Would you be interested in reviewing it for the Journal of Open Source Software? |
@TimKam @sivaramambikasaran @victorapm We've received a submission entitled "madupite: A High-Performance Distributed Solver for Large-Scale Markov Decision Processes". Would you be interested in reviewing it for the Journal of Open Source Software? |
Thanks @logological, I can help reviewing |
Thanks, @victorapm! I'll let you know when we have enough additional reviewers to start the process. |
Submitting author: @gmatilde (Matilde Gargiani)
Repository: https://github.com/madupite/madupite
Branch with paper.md (empty if default branch):
Version: v1.0.0
Editor: @logological
Reviewers: Pending
Managing EiC: Daniel S. Katz
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