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Contains the frontend and backend needed to execute the web app used to find anomalous behaviour in the decisions of a planning algorithm: POMCP

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Explainable AI

This repository contains my thesis project, created between Oct. 2020 and Oct.2021. It is a web application able to create analysis to find and visualize anomalous behaviours in AI agents.
Specifically, it implements the methodology namely XPOMCP published in: https://arxiv.org/abs/2012.12732.
The web application has been written in React (Gatsby) as frontend, and using FastAPI in python for the backend.
The frontend can be found in: https://github.com/gbagolin/explainable-ai-gatsby-version
While the backend can be found in: https://github.com/gbagolin/explainableai-backend
This repository contains also the presentation of the dissertation, which is a summary of my work.

A video is present down here to present how the web application works:
https://user-images.githubusercontent.com/45465549/137742645-74ce516c-7d3f-4594-a83b-6bdb3bc71cb0.mp4

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Contains the frontend and backend needed to execute the web app used to find anomalous behaviour in the decisions of a planning algorithm: POMCP

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