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admm-energy-management

An ADMM solver for energy management problems in plug-in hybrid electric vehicles

admm_in_scheduling

ADMM算法在分布式调度中的应用

cleanrl

High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, Ape-X DQN, DDPG, TD3, SAC)

cpo

Constrained Policy Optimization

deep-reinforcement-learning-algorithms-with-pytorch

PyTorch implementations of deep reinforcement learning algorithms and environments

deep-reinforcement-learning-with-pytorch

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

deeprl-tutorials

Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch

dirl-bidding_preference

The code of the algorithm proposed in the paper "Deep Inverse Reinforcement Learning for Objective Function Identification in Bidding Models"

dlmp_uncertainty_codesupplement

dop

Codes accompanying the paper "DOP: Off-Policy Multi-Agent Decomposed Policy Gradients" (ICLR 2021, https://arxiv.org/abs/2007.12322)

drl

Deep Reinforcement Learning

easy-rl

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

elegantrl

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

lemlab

an open-source tool for the multi-agent-based development and testing of local energy market applications

maac

Code for "Actor-Attention-Critic for Multi-Agent Reinforcement Learning" ICML 2019

maddpg

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

mapdn

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

mesmo

MESMO - Multi-Energy System Modeling and Optimization

multi-agent-constrained-policy-optimisation

Multi-Agent Constrained Policy Optimisation (MACPO)

on-policy

This is the official implementation of Multi-Agent PPO (MAPPO).

opf-admm

Using Alternating Direction Method of Multipliers to solve AC Optimal Power Flow Problem

p2p

p2penergy

pcnn

Physically Consistent Neural Networks

pgsim

PGSIM Simulator

popular-rl-algorithms

PyTorch implementation of Soft Actor-Critic (SAC), Twin Delayed DDPG (TD3), Actor-Critic (AC/A2C), Proximal Policy Optimization (PPO), QT-Opt, PointNet..

ppo-for-beginners

A simple and well styled PPO implementation. Based on my Medium series: https://medium.com/@eyyu/coding-ppo-from-scratch-with-pytorch-part-1-4-613dfc1b14c8.

ppo-pytorch

Minimal implementation of clipped objective Proximal Policy Optimization (PPO) in PyTorch

ppo_lagrangian_pytorch

Implementation of PPO Lagrangian in PyTorch

privacyoptimizationsubspace

Privacy-Preserving Distributed Optimization via Subspace Perturbation: A General Framework