ikelq / single-period-two-critic-DRLView external linksLinks
code for paper "Two-Critic Deep Reinforcement Learning for Inverter-based Volt-Var Control in Active Distribution Networks"
☆17Apr 10, 2024Updated last year
Alternatives and similar repositories for single-period-two-critic-DRL
Users that are interested in single-period-two-critic-DRL are comparing it to the libraries listed below
Sorting:
- DistFlow Safe Reinforcement Learning Algorithm for Voltage Magnitude Regulation in Distribution Networks☆13Jul 9, 2025Updated 7 months ago
- Official implementation for the paper☆54May 5, 2025Updated 9 months ago
- Fast-Converged Deep Reinforcement Learning for Optimal Dispatch of Large-Scale Power Systems under Transient Security Constraints☆31Sep 12, 2025Updated 5 months ago
- A Reinforcement Learning-based Volt-VAR Control Dataset☆25Apr 21, 2022Updated 3 years ago
- Explore efficient energy management in renewable communities through the implementation of Model Predictive Control (MPC) and Reinforceme…☆26Nov 24, 2023Updated 2 years ago
- Companion code to the paper "Transient Stability of Droop-Controlled Inverter Networks with Operating Constraints".☆10Aug 27, 2020Updated 5 years ago
- Code for ICLR 2022 Paper (HyperDQN: A Randomized Exploration Method for Deep Reinforcement Learning)☆12Nov 28, 2023Updated 2 years ago
- RLC4CLR employs curriculum learning to train a reinforcement learning controller (RLC) for a distribution system critical load restoratio…☆18Jul 3, 2025Updated 7 months ago
- Competitive Reinforcement Learning for Real-Time Pricing and Scheduling Control in Coupled EV Charging Stations and Power Networks☆14Jun 10, 2023Updated 2 years ago
- ☆15Nov 4, 2021Updated 4 years ago
- A Gym-like environment for Volt-Var control in power distribution systems.☆101Aug 4, 2022Updated 3 years ago
- energy management codes developed in the past☆20Sep 26, 2021Updated 4 years ago
- Deep Reinforcement Learning framework that uses GNN to solve planning tasks for infrastructural assets☆17Jan 15, 2022Updated 4 years ago
- This repo features a deep reinforcement learning Home Energy Management System for cost-effective heating. It optimizes energy consumptio…☆14Dec 19, 2023Updated 2 years ago
- Basics of power optimization and matlab modeling examples☆13Sep 4, 2023Updated 2 years ago
- Code for the paper "MARL-iDR: Multi-Agent Reinforcement Learning for Incentive-based Residential Demand Response"☆45Aug 2, 2023Updated 2 years ago
- 'Primer to Machine Learning' is a comprehensive guide covering essential topics in machine learning, including statistics, data preproces…☆23Sep 1, 2024Updated last year
- Code for paper HGFF: A Deep Reinforcement Learning Framework for Lifetime Maximization in Wireless Sensor Networks☆44Sep 29, 2025Updated 4 months ago
- This code is the implementation of the following paper: M. Jalali, V. Kekatos, N. Gatsis and D. Deka, "Designing Reactive Power Control …☆20Nov 8, 2020Updated 5 years ago
- This repository implements Distilled Graph Attention Policy Networks (DGAPNs), a curiosity-driven reinforcement learning model to generat…☆21Jan 21, 2022Updated 4 years ago
- Re-produce DQN, REINFORCE, REINFORCE with baseline, one-step AC, QAC, QAC with shared network, PPO2, DDPG, TD3, SAC, SAC discrete,A2C,A3C☆21Jul 27, 2020Updated 5 years ago
- Dynamic Partial Removal: a Neural Network Heuristic for Large Neighborhood Search on Combinatorial Optimization Problems, by applying dee…☆20Jun 17, 2020Updated 5 years ago
- Grid-scale li-ion battery optimisation for wholesale market arbitrage, using pytorch implementation of dqn, double dueling dqn and a nois…☆23Nov 26, 2022Updated 3 years ago
- ☆29Jul 18, 2023Updated 2 years ago
- PyTorch implementation of various reinforcement learning algorithms☆18Feb 22, 2018Updated 7 years ago
- The Source code for paper "Optimal Energy System Scheduling Combining Mixed-Integer Programming and Deep Reinforcement Learning". Safe …☆167Jun 8, 2023Updated 2 years ago
- Solution for DrivenData Challenge "Power Laws: Optimizing Demand-side Strategies" (using DQNs, policy networks)☆26May 9, 2019Updated 6 years ago
- Master Thesis Project for DRL in power system restoration using renewables☆23Oct 13, 2020Updated 5 years ago
- Code release of EnergyBoost: Learning-based Control of Home Batteries☆26Apr 13, 2021Updated 4 years ago
- Smart charging of electric vehicles for maximizing PV self-consumption using Deep Reinforcement Learning. Data preprocessing was done wit…☆31Nov 21, 2022Updated 3 years ago
- Source code for the paper <Joint Control of Manufacturing and Onsite Microgrid System via Novel Neural-Network Integrated Reinforcement L…☆27Jan 23, 2024Updated 2 years ago
- Multi-agent reinforcement learning for privacy-preserving, scalable residential energy flexibility coordination☆33Nov 4, 2023Updated 2 years ago
- Deep reinforcement learning tool for demand response in smart grids with high penetration of renewable energy sources.☆33Aug 1, 2024Updated last year
- Python code for implementing a set of basic robust model predictive control (RMPC) algorithms for linear systems.☆26Mar 30, 2022Updated 3 years ago
- Stock market data can be interesting to analyze and as a further incentive, strong predictive models can have large financial payoff. The…☆25May 2, 2018Updated 7 years ago
- Official repository for AAAI'23 paper: Let Graph be the Go Board: Gradient-free Node Injection Attack for Graph Neural Networks via Reinf…☆30Nov 26, 2022Updated 3 years ago
- IronMan+alpha: Graph Neural Network and Reinforcement Learning in High-Level Synthesis☆27Jun 24, 2022Updated 3 years ago
- Open code of my published paper: Ecological Driving Framework of Hybrid Electric Vehicle Based on Heterogeneous Multi-Agent Deep Reinforc…☆33May 6, 2025Updated 9 months ago
- ☆25Oct 4, 2021Updated 4 years ago