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# loosely-policies-analytics
## Analysis folder
- learning.R: contains two major functions:
- build_models: To generate K-fold cross-validation results (note that hyper-parameters for decisions tree is fixed (no validation set))
- generate_inputs: generate the inputs for the simulations experiments + the decision tree plots
- days.R: Implement the in-situ learning approach
Todo: remove minbucket=1 (does not impact the results)
## Simulation folder
- src/: contains the simulator code (based on SimGrid)
- libs/: contains a setup script that will fetch and configure the correct SimGrid version
- see simulation/README.md for more info
- results/: Contains all needed script to run the experiments
- In particular paper.sh generates the results present in the paper
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