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IMP-MARL Implementation
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ymahlau committed Nov 22, 2023
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2 changes: 2 additions & 0 deletions .gitignore
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launch_50.sbatch

heuristics/Results/

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imp_env/pomdp_models/model.npz
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# Expert-based heuristic policies

To find the best expert-based heuristic policy, one must conduct a search over the possible inspection intervals and number of components to be inspected.

This is done via the [run_heuristics](run_heuristics.py) script.

This script takes as input via its first lines the parameters of the environments and the parameters of the heuristic search.

Execute the script `download_heuristic_logs.sh` to retrieve the logs of the experiments conducted in the paper.

**Reproduce the results:** you can either run again the policy search to identify the optimised heuristics or directly evaluate the stored policies.

The policy search can be executed by indicating `search = True` in the script `run_heuristics.py`.

To re-run the policy evaluation corresponding to the optimised heuristics, you can directly test the stored policies in heur_search folder. In this case, specify `search = False` in the script `run_heuristics.py`.

For example, to compute the return resulting from the uncorrelated 4-out-of-5 environment:

* Check the optimized heuristics: 'insp_interv': 10, 'insp_comp': 5
* The seed was set up as 0 by default
* Execute run_heuristics.py

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12 changes: 12 additions & 0 deletions imp_env/heuristics/download_heuristic_logs.sh
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#!/bin/bash

# WARNING: this script considers you are in the heuristics folder.

# Create the logs directory, which is named heuristic_logs
mkdir -p heuristic_logs

# Download only the heuristic logs from zenodo.
wget https://zenodo.org/record/8032339/files/heur_logs.zip

# Unzip the logs
unzip heur_logs.zip -d heuristic_logs/
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