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| author | Loïc Guégan <loic.guegan@mailbox.org> | 2025-09-23 13:57:45 +0200 |
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| committer | Loïc Guégan <loic.guegan@mailbox.org> | 2025-09-23 13:57:45 +0200 |
| commit | 436db170f88ae1f14c1fdf36518ead9216abe80f (patch) | |
| tree | ff377ae41ed577f3191104bd29167331cf54cd15 | |
| parent | ebb8ea1e9647728827cba1fd38915f06a86bcdc2 (diff) | |
Update README.md
| -rw-r--r-- | README.md | 18 |
1 files changed, 18 insertions, 0 deletions
@@ -9,3 +9,21 @@ - Contains the simulator source code and script to run the experiments from the paper. - `slides_recap/` - Just backup slides. Nothing interresting. + +## Experiments + +### In-situ + +Simulations are carried using previous CCGrid2022 date in the file `analysis/in-situ.R`. +The idea is to use a single policy each day (round-robin) until model performance reaches 89%. +For that, a day correspond to a single simulation from CCGrid2022 with a particular policy. +Since we have 200 runs per policy from CCGrid2022, a single run result can be cherry-pick to simulate one day. + +### Offline + +First, models are trained and predictions are generated. +This is done in `analysis/offline.R`. +Predictions are stored in `analysis/inputs/input_*.csv`. +Then simulation are executed with those policies predictions as inputs. +This is done in `simulations/results/paper.sh`. + |
