Commit 46fb391b authored by Amélie Royer's avatar Amélie Royer Committed by GitHub

Update README.md

parent 09cbb110
......@@ -124,8 +124,23 @@ The following variables can be configured at the beginning of the ``run.sh`` scr
* ``[-p]`` If present, normalize the transition and use Kahan summation for more precision while handling small probabilities. Use this option if AIToolbox throws an ``Input transition table does not contain valid probabilities`` error.
* ``[-v]`` If present, enables verbose output. In verbose mode, evaluation results per environments are displayed, and the std::cerr stream is eanbled during evaluation.
#### examples
synthetic recommandations, 10 environments, 10 actions, ~100 states
# examples
#### maze solvingm 60 environments, 3 actions, ~100 states
* if needed, generate the data (already available on the repository)
```bash
cd Data/
python prepare_maze.py --norm --zip -n 5 -s 1 -g 1 -w 0 -t 0 -e 60 --rdf
```
* run the code (assuming the output directory is the default ``ROOT/Code/Models/``)
```bash
cd ../Code/
./run.sh -m pbvi -d mz -n gen_5x5_101_60 -h 20 -b 100 -c
./run.sh -m pamcp -d mz -n gen_5x5_101_60 -h 10 -c
```
#### synthetic recommandations, 10 environments, 10 actions, ~100 states
* if needed, generate the data (already available on the repository)
```bash
......@@ -140,7 +155,7 @@ synthetic recommandations, 10 environments, 10 actions, ~100 states
./run.sh -m pamcp -d rd -n 10 -k 2 -c
```
Foodmart recommandations, 5 environments, 22 actions, ~500 states
#### Foodmart recommandations, 5 environments, 22 actions, ~500 states
* if needed, generate the data (already available on the repository)
```bash
......
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