awesome-reinforcement-learning-zh

中文整理的强化学习资料（Reinforcement Learning）

baselines

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

battery-arbitrage

A pyomo implementation of a simple battery arbitrage model.

citylearn

Official reinforcement learning environment for demand response and load shaping

combined-heat-and-power-system-economic-dispatch

Deep reinforcement learning approaches for CHP system economic dispatch

comparingtilecoders

covid-19-detection

CT, Novel coronavirus, detection, Resnet neural network

covid-ct

COVID-CT-Dataset: A CT Scan Dataset about COVID-19

deep-reinforcement-learning-with-pytorch

PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....

deer

DEEp Reinforcement learning framework

df-srl

A Safety-Guaranteed Learning Algorithm for Voltage Regulation in Active Distribution Networks

drl-code-pytorch

Concise pytorch implements of DRL algorithms, including REINFORCE, A2C, DQN, PPO(discrete and continuous), DDPG, TD3, SAC.

drl-for-energy-systems-optimal-scheduling

The source code for Performance comparision of Deep RL algorithms for Energy Systems Optimal Scheduling

dueling-deep-q-learning

Energy Management Reinforcement Learnign agent to reduce the energy cost at the residential level

economicdispatch

The following code is a mixed integer linear programming (MILP) optimisation for an multi period economic load dispatch problem. It is implemented using pyomo.

egret

Tools for building power systems optimization problems

elegantrl

Scalable and Elastic Deep Reinforcement Learning Using PyTorch. Please star. 🔥

energy-data-and-model-platform

This repo is used to record the progress of building Platform for Energy Data and Model Platform

energy-management-mip-deep-reinforcement-learning

source code for the paper:A Constraint Enforcement Deep Reinforcement Learning Framework for Optimal Energy Storage Systems Dispatch

energy-py

Reinforcement learning for energy systems

energy_management_system

energy management system for the microgrid

eora-processing-data

eora individual country

google-research

Google Research

gym-anm

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

heftcom24

Repository for the Hybrid Renewable Energy Forecasting and Trading Competition containing utilities and a "Getting Started" guide.

hem-deeprl-v2

Home Energy Management based on Deep Reinforcement Learning Approach.

introrl

Intro to Reinforcement Learning (强化学习纲要）

maomao_project

help maomao do any project she need

mapdn

This repository is for an open-source environment for multi-agent active voltage control on power distribution networks (MAPDN).

microgrid

Optimizing microgrid performance using reinforcement Learning