Comments (2)
Hi @tatsubori
Thanks for your interest in rddl2tf and rddlgym. I really appreciate your effort to migrate my packages to TF2. I've been wondering about doing that for some time now.
Since I have a number of public and private projects that strongly depend on both packages I believe the best option right now would be to open a PR for us to review the code (and make sure all the tests pass), and then merge your commits into a temporary rddl2tf_tf2 branch. This will allow me to take the time to figure out how this change will impact my current work. After that, I will be glad to release a new rddl2tf version acknowledging your contribution.
Does that seem good to you?
Cheers,
Thiago
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Sure. Just created PRs for both rddl2tf and rddlgym for your review. Let me know if you want PRs to new branches instead. I will follow your instruction as you want. :->
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Related Issues (13)
- Create package for core modules fluent.py, fluentshape.py, and fluentscope.py
- Define compiler interface with required methods and properties
- Refactor low-level rddl2tf auxiliary methods
- Implement reparameterization-based compilation mode HOT 1
- Implement log-likelihood-based compilation mode
- Implement determinization-based compilation mode
- Add --debug mode and log compilation information
- Port scripts/rddl2tf to click CLI app
- Add Makefile for build, publish and testing automation
- Update README badges to include Python and pypi version
- Error when running Programmatic mode example HOT 1
- Is there a way to use it with Pytorch?
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