francesco-sovrano Goto Github PK

ai-act-compliance-software-documentation-assessment-tools-and-their-correlation-with-human-judgments

Replication package for the FAccT 2024 paper titled "AI Act Compliance: Software Documentation, Assessment Tools, and their Correlation with Human Judgments."

automating-regulatory-compliance-an-empirical-study-on-ranking-transparency-of-eu-online-platforms

Replication package for the ICSE-SEIS 2024 paper titled "An Empirical Study on Compliance with Ranking Transparency in the Software Documentation of EU Online Platforms".

combining--experience-replay--with--exploration-by-random-network-distillation-

Combining Experience Replay with Exploration by Random Network Distillation

deep-learning-based-multi-label-text-classification-of-unga-resolutions

Deep Learning Based Multi-Label Text Classification of UNGA Resolutions

deer

Dimensionality-invariante Explanatory Experience Replay for Multi-Agent Reinforcement Learning

discolqa

Replication package for the AI & Law paper titled "DiscoLQA: zero-shot discourse-based legal question answering on European Legislation".

doxpy

Replication package for the KNOSYS paper titled "An Objective Metric for Explainable AI: How and Why to Estimate the Degree of Explainability".

framework-for-actor-critic-deep-reinforcement-learning-algorithms

Framework for developing Actor-Critic deep RL algorithms (A3C, A2C, PPO, GAE, etc..) in different environments (OpenAI's Gym, Rogue, Sentiment Analysis, Car Controller, etc..) with continuous and discrete action spaces.

from-philosophy-to-interfaces-an-explanatory-method-and-a-tool-inspired-by-achinstein-s-theory-of-e

From Philosophy to Interfaces: an Explanatory Method and a Tool Inspired by Achinstein’s Theory of Explanation

generic-hierarchical-deep-reinforcement-learning-for-sentiment-analysis

A3C and generic hierarchical RL for sentiment analysis tasks

griddrive

A Gym environment to test the behaviour of RL algorithms when increasing the complexity (i.e. number of exceptions) of the regulation governing the environment. Regulations are implemented as argumentation frameworks.

legal-knowledge-extraction-for-knowledge-graph-based-question-answering

Extra documentation (knowledge graph, images, etc..) for the paper "Legal Knowledge Extraction for Knowledge Graph Based Question-Answering".

partitioned-a3c-for-rogueinabox

A novel A3C-based architecture for crawling in Rogue's dungeons with Deep Reinforcement Learning

pogym

scar-dl

swiss-g2c-user-guide-analysis

Extensive analysis of user guides in Swiss government-to-citizen software, correlating guide features with canton socio-economic factors.

vu-sentiment-lexicon

Python library providing sentiment lexicons. This fork adds support for Python 3.

xarl

XARL: Explanation-Aware Reinforcement Learning

yai4edu

An Explanatory AI for education that generates on-demand, expandable explanations.

yai4hu