SeaPearlZoo.jl
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corail-research
SeaPearl's pool of examples
The learning CP examples are hard to understand for newcomers. It would benefit them if all examples available in this repo were as simple as possible so that they can...
Tests have large console outputs that could be reduced in order to make them faster.
The README as it currently stands does not contain enough information to get started and model problems. It would benefit from an update that explains: - How to model problems...
Some issues and discrepancies persist between classic CP and learning CP: - The names of the examples differ (kidneyexchange in classic CP vs kep in learning CP) - Some examples...
As of now, all examples follow slightly different logics in the way they declare and organize: - agents - variable selection - value selection - utilities - featurization To make...
As of now the examples in the learning_cp section all run successfully, but the expected results are not known or documented. Having this information would make it easier for new...
In all learning_cp examples, the featurization code has to be defined within the main file of the example, which makes it a lot to read. Ideally, this code should be...
While the examples we currently have allow newcomers to experiment with SeaPearl, jupyter notebook examples would make the learning curve smoother.
As of now, the code is a mix of pascal case, snake case and camel case. For readability, we should convert all code to snake case, except for struct definitions,...
In order to make the package more user friendly and appealing, we should include tensorboard logging to the available examples.