Alternatives and similar repositories for DDPG-GCN-for-bidding-strategy

Users that are interested in DDPG-GCN-for-bidding-strategy are comparing it to the libraries listed below

• joeegan17 / DQN-for-Electrical-Microgrid-Control
  Reinforcement learning project using deep Q-learning to control the operations of an electrical microgrid
  ☆10Updated 2 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"
  ☆14Updated last year
• gaetanserre / L2RPN-2022_PPO-Baseline
  This repository contains the code to train the baseline agent provided in the 2022 edition of Learning to Run a Power Network and to recr…
  ☆13Updated 2 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 4 years ago
• suraniadi / evdrl-m3td3
  Competitive Reinforcement Learning for Real-Time Pricing and Scheduling Control in Coupled EV Charging Stations and Power Networks
  ☆15Updated 2 years ago
• ShengrenHou / DF-SRL
  DistFlow Safe Reinforcement Learning Algorithm for Voltage Magnitude Regulation in Distribution Networks
  ☆10Updated last week
• huwenqing0606 / RL-manufacturing
  Source code for the paper <Joint Control of Manufacturing and Onsite Microgrid System via Novel Neural-Network Integrated Reinforcement L…
  ☆22Updated last year
• wilsonhu7777 / Vanilla-DQN-for-Bat
  Deep Reinforcement Learning Techniques for Energy Management of Networked Microgrids
  ☆25Updated 4 years ago
• xiaoxuh / HGFF_Maximize-the-lifetime-of-WSN-with-DRL
  Code for paper HGFF: A Deep Reinforcement Learning Framework for Lifetime Maximization in Wireless Sensor Networks
  ☆12Updated 5 months ago
• acsicuib / DRL-AC-Allocation
  Multi-objective application placement in fog computing using graph neural network-based reinforcement learning
  ☆9Updated 10 months ago
• Luoyadan / DQN_vehicle_energy
  Code for "Deep Reinforcement Learning-Based Vehicle Energy Efficiency Autonomous Learning System"
  ☆7Updated 5 years ago
• Cynr1cChen / DRL-and-GNN-for-solving-VRP
  Optimization of vehicle routing problem by deep reinforcement learning method based on residual edge-graph attention network
  ☆10Updated 7 months ago
• meditateultra / anxious-EV-charging
  A pytorch implementation of the methods described in the paper "Deep Reinforcement Learning for Continuous Electric Vehicles Charging Con…
  ☆29Updated last year
• kinsonchen / task_scheduling_dqn_pytorch
  ☆14Updated 4 years ago
• GitX123 / microgrid-ems-drl
  Time series observation and valid action handling for applying deep reinforcement learning in microgrid energy management.
  ☆36Updated last year
• 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
  ☆19Updated 4 years ago
• axel-fehr / minimizing-electricity-cost-with-model-based-deep-RL
  This project is about exploring the use of model-based reinforcement learning with Bayesian neural networks to minimize the electricity c…
  ☆17Updated last year
• pau-3i8 / smartgrid_DRL
  Deep reinforcement learning tool for demand response in smart grids with high penetration of renewable energy sources.
  ☆25Updated 11 months ago
• Frag-Ment / RG-RRD
  A program implemented by Pytorch for solving RCPSP and RCPSP with resource disruptions, based on graph neural network and reinforcement l…
  ☆15Updated last year
• TanguyLevent / RL4Microgrids
  RL for Energy Management of Microgrids
  ☆10Updated 5 years ago
• NastaranGh74 / GridIQRL
  GridIQRL: A Reinforcement Learning-Based Tool for Distribution Network Reconfiguration
  ☆19Updated last year
• Qqianliu / VT-cenTVT-centrilized-dual-actor-DDPG
  This is the code for the paper Improved DDPG Based Two-Timescale Multi- Dimensional Resource Allocation for Multi-Access Edge Computing N…
  ☆13Updated 2 months ago
• anadeba / Reinforcement-Learning---HVAC
  Implementation of Q-Learning as Finite Markov Decision Process
  ☆27Updated last year
• fredrikofstad / RL-Microgrid-Coordination
  Coordinating energy management for microgrid using reinforcement learning
  ☆24Updated last year
• ericmassip / Smart_Charging_Of_Electric_Vehicles
  Smart charging of electric vehicles for maximizing PV self-consumption using Deep Reinforcement Learning. Data preprocessing was done wit…
  ☆28Updated 2 years ago
• willzhang3 / MASTER-electric_vehicle_charging_recommendation
  ☆57Updated 7 months ago
• willzhang3 / MAGC-dynamic_electric_vehicle_charging_pricing
  Multi-Agent Graph Convolutional Reinforcement Learning for Dynamic Electric Vehicle Charging Pricing
  ☆66Updated 2 years ago
• ShengrenHou / Energy-management-MIP-Deep-Reinforcement-Learning
  source code for the paper:A Constraint Enforcement Deep Reinforcement Learning Framework for Optimal Energy Storage Systems Dispatch
  ☆18Updated 2 years ago
• Cernewein / heating-RL-agent
  A Pytorch DQN and DDPG implementation for a smart home energy management system under varying electricity price.
  ☆82Updated 2 years ago
• alabatie / optim-pv-battery
  Solution for DrivenData Challenge "Power Laws: Optimizing Demand-side Strategies" (using DQNs, policy networks)
  ☆25Updated 6 years ago