Code for a multi-agent particle environment used in the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"

Pytorch implementation of the MARL algorithm, MADDPG, which correspondings to the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments".

A forward proxy base netty uses quic protocol

Accompanying repository for Let's make a DQN / A3C series.

My blogs and code for machine learning. http:https://cnblogs.com/pinard

An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.

Agent-Based Modeling in Electricity Market Using Deep Deterministic Policy Gradient Algorithm

Simple Reinforcement learning tutorials, 莫烦Python 中文AI教学

We study the performance of various deep reinforcement learning algorithms for the problem of microgrid’s energy management system. We propose a novel microgrid model that consists of a wind turbin…

强化学习中文教程（蘑菇书🍄），在线阅读地址：https://datawhalechina.github.io/easy-rl/

This project develops an optimal scheduling algorithm to minimize the total cost for charging and discharging of electric vehicles.

Optimal Scheduling of Electric Vehicle Charging in Distribution Networks

The FINE python package provides a framework for modeling, optimizing and assessing energy systems

A toolkit to help generate renewable energy generation time-series for energy systems analysis

Repository for the Open Energy Ontology (OEO)