tmc.py, autrement dit TransitionMatrixCalculator est le fichier qui permet de calculer les différentes matrices de transitions
Ce projet vise à implémenter un jeu de "Snake and Ladders" ainsi que de l'entrainer afin d'obtenir la meilleure stratégie.
Ce README présente la structure et résume notre projet.
## Getting started
## Python Libraries :
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Pour exécuter les différents scripts et notebooks, assurez-vous d'avoir installé les librairies Python suivantes :
Already a pro? Just edit this README.md and make it your own. Want to make it easy? [Use the template at the bottom](#editing-this-readme)!
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-[ ] [Add files using the command line](https://docs.gitlab.com/ee/gitlab-basics/add-file.html#add-a-file-using-the-command-line) or push an existing Git repository with the following command:
-[ ] [Set up project integrations](https://forge.uclouvain.be/machine_learning/MLP1/-/settings/integrations)
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***
# Editing this README
When you're ready to make this README your own, just edit this file and use the handy template below (or feel free to structure it however you want - this is just a starting point!). Thanks to [makeareadme.com](https://www.makeareadme.com/) for this template.
## Suggestions for a good README
Every project is different, so consider which of these sections apply to yours. The sections used in the template are suggestions for most open source projects. Also keep in mind that while a README can be too long and detailed, too long is better than too short. If you think your README is too long, consider utilizing another form of documentation rather than cutting out information.
## Codes Python
## Name
Choose a self-explaining name for your project.
Ces codes permettent d'implémenter le jeu du Snake and Ladders, de déterminer différentes stratégies possible ainsi que d'analyser les résultats de celles-ci.
## Description
Let people know what your project can do specifically. Provide context and add a link to any reference visitors might be unfamiliar with. A list of Features or a Background subsection can also be added here. If there are alternatives to your project, this is a good place to list differentiating factors.
### tmc.py
## Badges
On some READMEs, you may see small images that convey metadata, such as whether or not all the tests are passing for the project. You can use Shields to add some to your README. Many services also have instructions for adding a badge.
Ce code définit une **classe TransitionMatrixCalculator** qui calcule les matrices de transitions en fonctions des trois scénarios possible. Les règles de ce jeux diffèrent de celles traditionnellement utilisées, en effet à chaque étape le joueur à le choix entre trois dés : safe, normal ou risqué. Ils ont une influence sur la suite du jeu, effectivement le choix de dé occassione ou non la présence de pièges sur le plateau de jeu.
## Visuals
Depending on what you are making, it can be a good idea to include screenshots or even a video (you'll frequently see GIFs rather than actual videos). Tools like ttygif can help, but check out Asciinema for a more sophisticated method.
### markovDecison.py
## Installation
Within a particular ecosystem, there may be a common way of installing things, such as using Yarn, NuGet, or Homebrew. However, consider the possibility that whoever is reading your README is a novice and would like more guidance. Listing specific steps helps remove ambiguity and gets people to using your project as quickly as possible. If it only runs in a specific context like a particular programming language version or operating system or has dependencies that have to be installed manually, also add a Requirements subsection.
Ce code contient une **classe MarkovDecisionProcess** qui définit les algorithmes de Value Iteration relatifs aux différentes stratégies. La fonction **solve** permet de calculer la politique optimale. Ensuite, la fonction **markovDecision** faisant appel à la fonction **solve**, permet d'obtenir la stratégie optimale.
## Usage
Use examples liberally, and show the expected output if you can. It's helpful to have inline the smallest example of usage that you can demonstrate, while providing links to more sophisticated examples if they are too long to reasonably include in the README.
### validation.py
## Support
Tell people where they can go to for help. It can be any combination of an issue tracker, a chat room, an email address, etc.
Dans ce code nous définissons une **classe validation** dans laquelle nous créons différentes fonctions de simulation du jeu. Cela va permettre d'obtenir le coût empirique de notre jeu (pour la fonction **simulate_rounds**) et le nombre de tour moyen nécessaire pour atteindre la case finale du jeu (pour la fonction **state_simulation**). Ensuite, nous implémentons des fonctions permettant de comparer les résultats empiriques, des simulations de jeu, aux résultats théoriques attendus, obtenus par value iteration.
## Roadmap
If you have ideas for releases in the future, it is a good idea to list them in the README.
### plot.py
## Contributing
State if you are open to contributions and what your requirements are for accepting them.
Ce code permet de réaliser différents graphiques afin de comparer les résultats obtenus des stratégies.
For people who want to make changes to your project, it's helpful to have some documentation on how to get started. Perhaps there is a script that they should run or some environment variables that they need to set. Make these steps explicit. These instructions could also be useful to your future self.
## Contact
Pour toute question, suggestion, ou demande de collaboration sur ce projet, n'hésitez pas à nous contacter. Pour des discussions plus approfondies sur notre recherche et notre méthodologie, nous pouvez contacter :
- Audrey Ghilain à audrey.ghilain@student.uclouvain.be
- Nathanaël Kindidi à nathanael.kindidi@student.uclouvain.be
- Adrien Payen à adrien.payen@student.uclouvain.be
You can also document commands to lint the code or run tests. These steps help to ensure high code quality and reduce the likelihood that the changes inadvertently break something. Having instructions for running tests is especially helpful if it requires external setup, such as starting a Selenium server for testing in a browser.
## Remerciements
Nous tenons à exprimer notre gratitude envers plusieurs parties qui ont jouées un rôle crucial dans la réalisation de ce projet :
## Authors and acknowledgment
Show your appreciation to those who have contributed to the project.
-**Professeur Saerens Marco** : Pour son enseignement en Machine Learning. Son soutien et ses conseils ont été essentiels pour l'adaptation et l'amélioration de nos codes dans notre projet.
## License
For open source projects, say how it is licensed.
## Auteurs
- Audrey Ghilain
- Nathanaël Kindidi
- Adrien Payen
## Project status
If you have run out of energy or time for your project, put a note at the top of the README saying that development has slowed down or stopped completely. Someone may choose to fork your project or volunteer to step in as a maintainer or owner, allowing your project to keep going. You can also make an explicit request for maintainers.