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The code implementation of the paper: A Deep Multi-Objective Reinforcement Learning Approach for Infrastructural Maintenance Planning with Non-Linear Utility Functions

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MODCMAC

This repository contains the code for Multi-Objective Deep Centralized Multi-Agent Actor Critic (MODCMAC) algorithm. The algorithm is implemented in PyTorch.

Installation

The dependencies can be installed using the following command:

pip install -r requirements.txt

Running the code

The code can be run using the following command:

python run_MODCMAC.py [args]

The function of each argument can be found by running:

python run_MODCMAC.py --help

Disclaimer

The code is a work in progress and is not yet complete. We will add a full citation soon after the paper is published at the MODeM workshop at ECAI 2023.

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The code implementation of the paper: A Deep Multi-Objective Reinforcement Learning Approach for Infrastructural Maintenance Planning with Non-Linear Utility Functions

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