Commit 3eef7b1f authored by Amelie Royer's avatar Amelie Royer

Updating the Readme

parent 7e6003f4
......@@ -11,8 +11,8 @@ STDLIB="/usr/lib/gcc/x86_64-linux-gnu/4.9.3/"
AIBUILD="$AIROOT/build"
AIINCLUDE="$AIROOT/include"
MODE="mdp"
DATA="fm"
PLEVEL="4"
DATA="rd"
PLEVEL="10"
HIST="2"
UPROFILE="0"
DISCOUNT="0.95"
......
......@@ -45,16 +45,17 @@ Generate synthetic POMDP parameters to highlight the impact of using multiple en
```bash
cd Data/
./prepare_foodmart.py -pl [1] -k [2] -ul [3] -a [4] -t [5] -d [6] -o [7] --norm --help
./prepare_foodmart.py -p [1] -k [2] -u [3] -a [4] -t [5] -d [6] -o [7] -D [8] --norm --help
```
* ``[1]`` Items discretization level. Must be between 0 (*1561 fine-grained products*) and 4 (*3 high-level categories*). Defaults to 4.
* ``[2]`` History length, > 1. Defaults to 2.
* ``[3]`` User profiles discretization level (*0*: 10 profiles, *1*: 24 profiles, *2*: 48 profiles). Defaults to 0.
* ``[4]`` Positive scaling parameter for correct recommandation. Must be greater than 1. Defaults to 1.4.
* ``[5]`` Proportion of the dataset to keep for parameter inference. Defaults to 0.8.
* ``[3]`` Number of profiles to generate. Defaults to 5.
* ``[4]`` Positive scaling parameter for correct recommandation. Must be greater than 1. Defaults to 1.1.
* ``[5]`` Number of test sequences to generate. Defaults to 2000.
* ``[6]`` Path to the Foodmart dataset. Defaults to ``Data/Foodmart.gz``.
* ``[7]`` Path to the output directory. Defaults to ``../Code/Models``.
* ``[8]`` Number of sequences to isolate to estimate each environment's transition probabilities.
* ``[--norm]`` If present, output transition probabilities are normalized.
* ``[--zip]`` If present, transitions are stored in an archive. Recommended for large state spaces.
* ``[--help]`` displays help about the script.
......@@ -98,15 +99,15 @@ The following variables can be configured at the beginning of the ``run.sh`` scr
* ``[1]`` Model to use. Defaults to mdp. Available options are
* *mdp*. MDP model obtained by a weighted average of all the environments' transition probabilities and solved by Value iteration. The solver can be configured with
* ``[7]`` Number of iterations. Defaults to 1500.
* ``[7]`` Number of iterations. Defaults to 1000.
* *pbvi*. point-based value iteration optimized for the MEMDP structure with options
* ``[8]`` Horizon parameter. Must be greater than 1. Defaults to 2.
* ``[11]`` Belief size. Defaults to 100.
* ``[11]`` Belief size. Defaults to 500.
* *pomcp* and *pamcp*. Monte-carlo solver, respectively without and with optimization for the MEMDP structure with options
* ``[7]`` Number of simulation steps. Defaults to 1500.
* ``[7]`` Number of simulation steps. Defaults to 1000.
* ``[8]`` Horizon parameter. Must be greater than 1. Defaults to 2.
* ``[10]`` Exploration parameter. Defaults to 10000 (high exploration).
* ``[11]`` Number of particles for the belief approximation. Defaults to 100.
* ``[11]`` Number of particles for the belief approximation. Defaults to 500.
* ``[2]`` Dataset to use. Defaults to rd. Available options are
* *fm* (foodmart recommandations) with following options
* ``[3]`` Product discretization level. Defaults to 4.
......
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