This is the homepage of a new book entitled "Mathmatical Foundations of Reinforcement Learning."

pymgrid is a python library to generate and simulate a large number of microgrids.

Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"

The repository is for safe reinforcement learning baselines.

A universal MARL benchmark for research and industry

OmniXAI: A Library for eXplainable AI

A parallel framework for population-based multi-agent reinforcement learning.

Bayesian optimisation library developped by Huawei Noah's Ark Library

The next generation deep reinforcement learning tookit

The official code releasement of publications in MARL field of TJU RL lab.

Build and run Docker containers leveraging NVIDIA GPUs

RLA is a tool for managing your RL experiments automatically

MATPOWER – steady state power flow simulation and optimization for MATLAB and Octave

PGSIM Simulator

ANDES RL Environment for OpenAI Gym

Kats, a kit to analyze time series data, a lightweight, easy-to-use, generalizable, and extendable framework to perform time series analysis, from understanding the key statistics and characteristi…

A pipeflow calculation tool that complements pandapower in the simulation of multi energy grids

PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.

Convenient Power System Modelling and Analysis based on PYPOWER and pandas

We present PSML, a first-of-its-kind open-access multi-scale time-series dataset, to aid in the development of data-driven machine learning (ML) based approaches towards reliable operation of futur…

Grid2Op a testbed platform to model sequential decision making in power systems.

A pack of reinforcement learning algorithms.

CMIX: Deep Multi-agent Reinforcement Learning with Peak and Average Constraints

Transportation Networks for Research

Design Reinforcement Learning environments that model Active Network Management (ANM) tasks in electricity distribution networks.

A Gym-like environment for Volt-Var control in power distribution systems.

This repository contains implementations and illustrative code to accompany DeepMind publications