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aceirl

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

altermax

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

awesome-explanatory-supervision

List of relevant resources for machine learning from explanatory supervision

baby-ai-game

Prototype of a game where a reinforcement learning agent is trained through natural language instructions

bayesian_irl

Bayesian Inverse Reinforcement Learning with simple environments

bci_matlab

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

contrastive_examples_mlirl

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

diagnosing_qlearning

Code for Diagnosing Bottlenecks in Deep Q-learning. Contains implementations of tabular environments plus solvers.

dyadic-minigrid

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

for-the-record

The original repository for the game For the Record

gpairls

Generalizing Persistent Advice in Interactive Reinforcement Learning Scenarios

imitation

Clean PyTorch implementations of imitation and reward learning algorithms

in_104-projet-informatique

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

lola_dice

Pytorch implementation of LOLA (https://arxiv.org/abs/1709.04326) using DiCE (https://arxiv.org/abs/1802.05098)

machinelearningpython

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

meta-learning-curiosity-algorithms

py_courses

Collection of Python classes

python-machine-learning

This repository basically covers Python implementation of different machine learning algorithms like Linear Regression, Logistic regression, Decision tree, PCA,SVM, kNN. It also has implementation of NLP and Recommender System.

python-print-booklet

It is Python script able to impose a single page pdf into ready-to-print booklet.

q-learning-demo-notebook

This repositoy contains a Jupyter Notebook with an implemenation of a Q-Learning Agent, which learns to solve the n-Chain OpenAI Gym environment

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)

rlhomework

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

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.

single-machine-scheduling

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