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Diffstat (limited to 'README.md')
| -rw-r--r-- | README.md | 7 |
1 files changed, 5 insertions, 2 deletions
@@ -1,10 +1,13 @@ # loosely-policies-analytics ## Analysis folder -- learning.R: contains two major functions: +- offline.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 +- in-situ.R: Implement the in-situ learning approach (Figure 4a 4b and 4c) + - For figure 4a and 4b we train the model with increasing amount of data from previous results as if we were using one policy per day (see section IV.A) + - For figure 4c, delta is generated by comparing using each policies in round-robin (one per days to perform the training) + to each previous paper results with single policy only (see paper section IV.A) Todo: remove minbucket=1 (does not impact the results) |