Silviatulli

altermax

two-agents setting with minmax planner for counterfactual explanations - Learning from Explanations and Demonstrations: A Pilot Study

IN_104-Projet-Informatique

This is the website of the Computer Science Project course on Genetic Algorithms

RLhomework

multi-armed bandit, gambler problem, cliff problem and TD learning

XAI-tutorial

A comprehensive set of colab notebooks to showcase the principal differences among XAI techniques

aceirl

Implementation of "Active Exploration for Inverse Reinforcement Learning (AceIRL), NeurIPS 2022.

awesome-explanatory-supervision

List of relevant resources for machine learning from explanatory supervision

contrastive_examples_MLIRL

Codes to reproduce the results of the paper Contrastive Examples in Maximum Likelihood Inverse Reinforcement Learning

dyadic-minigrid

multiplayer game and chat for collecting data on human counterfactual explanations in a collaborative learning task

single-machine-scheduling

software tool for solving a single machine scheduling (SMS) problem using a MiniZinc framework for constraint satisfaction problems (CSP)

suboptimax

minmax planner for suboptimal explanations - Explainable Agency by Revealing Suboptimality in CHRI Learning Scenarios

BCI_Matlab

Brain-Computer Interface - data analysis, k nearest neighbors classifier

gpairls

Generalizing Persistent Advice in Interactive Reinforcement Learning Scenarios

imitation

Clean PyTorch implementations of imitation and reward learning algorithms

learnermax

minmax planner for suboptimal explanations with POMDP framework to optimize those explanations for the learner level of expertise

LOGEL

Inverse Reinforcement Learning from a Gradient-based Learner

MachineLearningPython

collections of vanilla ML models implemented with existing python libraries and simple datasets

meta-learning-curiosity-algorithms

py_courses

Collection of Python classes

rl-baselines3-zoo

A training framework for Stable Baselines3 reinforcement learning agents, with hyperparameter optimization and pre-trained agents included.

RL4XAI

Sequential Explanations with Mental Model-Based Policies (Reinforcement Learning for Explainable AI)

salina

a Lightweight library for sequential learning agents, including reinforcement learning

silvia_grids

gym compatible customized gridworld environments

Silviatulli

Config files for my GitHub profile.

simple_MLwebapp

Introductory tutorial to build a Flask web application that integrates a machine learning model. The dummy example takes the mood and the hours of sleep of the user as a numerical input and predicts the workload in hours.

StarCraft-II-causal-explanations

time-series-forecasting-r

study example of time series forecasting with R

transformers-interpret

Model explainability that works seamlessly with 🤗 transformers. Explain your transformers model in just 2 lines of code.

XAI-tutorials

XAI_transformer_tutorial

BERT SQUAD Interpret from Captum

yaaf

Yet Another Agents Framework - An RL research-oriented framework for agent prototyping and evaluation