A library for building autonomous agents that comply with ethical theories

A suite of test scenarios for multi-agent reinforcement learning.

A highly-customisable gridworld game engine with some batteries included. Make your own gridworld games to test reinforcement learning agents!

Multi-Agent Constrained Policy Optimisation (MACPO; MAPPO-L).

Recommend new arxiv papers of your interest daily according to your Zotero libarary.

The code implementation of paper "Constrained Policy Optimization with Explicit Behavior Density for Offline Reinforcement Learning"

An offline deep reinforcement learning library

Code for the paper "Offline Reinforcement Learning as One Big Sequence Modeling Problem"

High-quality single-file implementations of SOTA Offline and Offline-to-Online RL algorithms: AWAC, BC, CQL, DT, EDAC, IQL, SAC-N, TD3+BC, LB-SAC, SPOT, Cal-QL, ReBRAC

Multi-Objective Reinforcement Learning algorithms implementations.

A standard format for offline reinforcement learning datasets, with popular reference datasets and related utilities

Conditional GAN for generating synthetic tabular data.

A suite of auto-regressive and Seq2Seq (sequence-to-sequence) transformer models for tabular and relational synthetic data generation.

Notebooks using the Hugging Face libraries 🤗

The Hugging Face course on Transformers

Materials for the Hugging Face Diffusion Models Course

large population models

Emulate simulations easily

Implementation and evaluation of Almanac (Automaton/Logic Multi-Agent Natural Actor-Critic), an algorithm for multi-agent reinforcement learning with temporal logic specifications.

A Python package to assess and improve fairness of machine learning models.

FEN Code

A community-maintained Python framework for creating mathematical animations.

Official inference framework for 1-bit LLMs