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| author | Loïc Guégan <loic.guegan@mailbox.org> | 2025-09-23 13:31:38 +0200 |
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| committer | Loïc Guégan <loic.guegan@mailbox.org> | 2025-09-23 13:31:38 +0200 |
| commit | f6a98338ad43c4b7f0f10b6a2b2a40388a3e9401 (patch) | |
| tree | d0948d8c68073b039fce8be9841130271fd543ea | |
| parent | 7b14ab8d3e7918b74de391fedf93e707894553f6 (diff) | |
Update README
| -rw-r--r-- | analysis/README.md | 3 |
1 files changed, 3 insertions, 0 deletions
diff --git a/analysis/README.md b/analysis/README.md index 5930997..27128dc 100644 --- a/analysis/README.md +++ b/analysis/README.md @@ -12,6 +12,9 @@ - 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) +## Folders +- inputs/: Random targets and predicted policy to use for offline experiments +- figures/: All analysis output ## Notes Todo: remove minbucket=1 (does not impact the results) |