Alternatives and similar repositories for MADRL

Users that are interested in MADRL are comparing it to the libraries listed below

• yanchang-liang / agent-based-modeling-in-electricity-market-using-DDPG-algorithm
  Agent-Based Modeling in Electricity Market Using Deep Deterministic Policy Gradient Algorithm
  ☆60Updated 5 years ago
• ikelq / single-period-two-critic-DRL
  code for paper "Two-Critic Deep Reinforcement Learning for Inverter-based Volt-Var Control in Active Distribution Networks"
  ☆17Updated last year
• huwenqing0606 / RL-manufacturing
  Source code for the paper <Joint Control of Manufacturing and Onsite Microgrid System via Novel Neural-Network Integrated Reinforcement L…
  ☆25Updated 2 years ago
• willzhang3 / MASTER-electric_vehicle_charging_recommendation
  ☆62Updated last year
• TanguyLevent / RL4Microgrids
  RL for Energy Management of Microgrids
  ☆10Updated 5 years ago
• pierlucaanania / REC-Energy-Management-MPC-RL
  Explore efficient energy management in renewable communities through the implementation of Model Predictive Control (MPC) and Reinforceme…
  ☆25Updated 2 years ago
• bigaidream-projects / citylearn-2020-pikapika
  CityLearn Challenge Multi-Agent Reinforcement Learning for Intelligent Energy Management, 2020, PikaPika team
  ☆28Updated 4 years ago
• Cernewein / heating-RL-agent
  A Pytorch DQN and DDPG implementation for a smart home energy management system under varying electricity price.
  ☆87Updated 2 years ago
• willzhang3 / MAGC-dynamic_electric_vehicle_charging_pricing
  Multi-Agent Graph Convolutional Reinforcement Learning for Dynamic Electric Vehicle Charging Pricing
  ☆74Updated 2 years ago
• EnergyQuantResearch / DF-SRL
  DistFlow Safe Reinforcement Learning Algorithm for Voltage Magnitude Regulation in Distribution Networks
  ☆13Updated 6 months ago
• alabatie / optim-pv-battery
  Solution for DrivenData Challenge "Power Laws: Optimizing Demand-side Strategies" (using DQNs, policy networks)
  ☆26Updated 6 years ago
• moayad-hsn / Enhancing-energy-trading-between-different-Islanded-Microgrids-A-Reinforcement-Learning-Algorithm
  Graduation project researching a trading agent on microgrids to trade energy between them
  ☆42Updated 4 years ago
• jeffreytsaw / PowerGridRLAgent
  Implementations of DQN, DQN with PER, DDQN with PER, and DDDQN with PER agents to maximise reward in a 14 node power grid station
  ☆20Updated 5 years ago
• Cernewein / multi-building-RL
  ☆15Updated 2 years ago
• Jaeik-Jeong / DeepBid
  Deep Reinforcement Learning based Real-time Renewable Energy Bidding with Battery Control
  ☆15Updated 6 months ago
• mathildebadoual / ev_controller
  Markov Decision Process and Model Predictive control for EV charging station
  ☆27Updated 7 years ago
• wsyCUHK / Reinforcement-Learning-for-Real-time-Pricing-and-Scheduling-Control-in-EV-Charging-Stations
  Reinforcement Learning for Real time Pricing and Scheduling Control in EV Charging Stations
  ☆156Updated 3 years ago
• meditateultra / anxious-EV-charging
  A pytorch implementation of the methods described in the paper "Deep Reinforcement Learning for Continuous Electric Vehicles Charging Con…
  ☆31Updated 2 years ago
• georkara / Chargym-Charging-Station
  Chargym simulates the operation of an electric vehicle charging station (EVCS) considering random EV arrivals and departures within a day…
  ☆142Updated 2 years ago
• pau-3i8 / smartgrid_DRL
  Deep reinforcement learning tool for demand response in smart grids with high penetration of renewable energy sources.
  ☆33Updated last year
• Parvezkhan0 / SmartHeat-ControlRL
  This repo features a deep reinforcement learning Home Energy Management System for cost-effective heating. It optimizes energy consumptio…
  ☆14Updated 2 years ago
• lrlgogo / MORL
  reinforcement learning algorithm for multi-objective optimization problem
  ☆18Updated 5 years ago
• indyfree / MarketSim
  Electricity market simulation where RL agents learn a bidding strategy
  ☆19Updated 6 years ago
• wilsonhu7777 / Vanilla-DQN-for-Bat
  Deep Reinforcement Learning Techniques for Energy Management of Networked Microgrids
  ☆28Updated 5 years ago
• vignesh-viswanathan / Bayesian-Stackelberg-Games
  The three algorithms used to solve Bayesian Stackelberg Games have been implemented here.
  ☆29Updated 7 years ago
• ChongAih / Transactive-Energy-with-Reinforcment-Learning-Deep-Q-Network
  Energy trading using DQN
  ☆29Updated 6 years ago
• ThousandOfWind / DRL-baseline
  Re-produce DQN, REINFORCE, REINFORCE with baseline, one-step AC, QAC, QAC with shared network, PPO2, DDPG, TD3, SAC, SAC discrete，A2C，A3C
  ☆21Updated 5 years ago
• GitX123 / microgrid-ems-drl
  Time series observation and valid action handling for applying deep reinforcement learning in microgrid energy management.
  ☆47Updated last year
• EnergyQuantResearch / Energy-management-MIP-Deep-Reinforcement-Learning
  source code for the paper:A Constraint Enforcement Deep Reinforcement Learning Framework for Optimal Energy Storage Systems Dispatch
  ☆17Updated 2 years ago
• alwaysbyx / e2e-DR-learning
  Code for our paper Demand Response Model Identification and Behavior Forecast with OptNet: a Gradient-based Approach.
  ☆11Updated 3 years ago