Luoyadan / DQN_vehicle_energyLinks
Code for "Deep Reinforcement Learning-Based Vehicle Energy Efficiency Autonomous Learning System"
☆7Updated 5 years ago
Alternatives and similar repositories for DQN_vehicle_energy
Users that are interested in DQN_vehicle_energy are comparing it to the libraries listed below
Sorting:
- Reinforcement learning project using deep Q-learning to control the operations of an electrical microgrid☆10Updated 2 years ago
- This project is the source code of paper "Optimizing bidding strategy in electricity market based on graph convolutional neural network a…☆18Updated 3 months ago
- code for paper "Two-Critic Deep Reinforcement Learning for Inverter-based Volt-Var Control in Active Distribution Networks"☆14Updated last year
- 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
- Optimization of vehicle routing problem by deep reinforcement learning method based on residual edge-graph attention network☆10Updated 7 months ago
- Source code for the paper <Joint Control of Manufacturing and Onsite Microgrid System via Novel Neural-Network Integrated Reinforcement L…☆22Updated last year
- MATLAB implementation of DQN for a navigation environment☆13Updated 4 years ago
- Competitive Reinforcement Learning for Real-Time Pricing and Scheduling Control in Coupled EV Charging Stations and Power Networks☆15Updated 2 years ago
- Implementation of Q-Learning as Finite Markov Decision Process☆27Updated last year
- The source code is the entry for 2022 EUROCONTROL Air Transport Innovation Network Innovation Masterclass. The reinforcement learning mod…☆16Updated 3 years ago
- Deep Reinforcement Learning Techniques for Energy Management of Networked Microgrids☆25Updated 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☆19Updated 4 years ago
- Solution for DrivenData Challenge "Power Laws: Optimizing Demand-side Strategies" (using DQNs, policy networks)☆25Updated 6 years ago
- Adaptive Signal Traffic Control with Reinforcement Learning: Towards State-of-the-art and Beyond☆8Updated 4 years ago
- ☆18Updated 7 years ago
- DistFlow Safe Reinforcement Learning Algorithm for Voltage Magnitude Regulation in Distribution Networks☆10Updated this week
- Smart charging of electric vehicles for maximizing PV self-consumption using Deep Reinforcement Learning. Data preprocessing was done wit…☆28Updated 2 years ago
- GridIQRL: A Reinforcement Learning-Based Tool for Distribution Network Reconfiguration☆19Updated last year
- 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
- DQN related algorithms☆10Updated 2 years ago
- ☆13Updated 6 years ago
- This project is about exploring the use of model-based reinforcement learning with Bayesian neural networks to minimize the electricity c…☆17Updated last year
- A Deep Q-Network trained to safely guide the autonomous car to cross a 4-way intersection in a complex traffic environment.☆9Updated 4 years ago
- ☆14Updated 4 years ago
- RL for Energy Management of Microgrids☆10Updated 5 years ago
- A pytorch implementation of the methods described in the paper "Deep Reinforcement Learning for Continuous Electric Vehicles Charging Con…☆29Updated last year
- ☆8Updated 3 years ago
- Multi-objective application placement in fog computing using graph neural network-based reinforcement learning☆9Updated 10 months ago
- 通过python3.6编程，利用DQN算法实现机器学习避开障碍走到迷宫终点。（Through python3.6 programming, I use DQN algorithm to achieve machine learning and avoid obstacles…☆10Updated 7 years ago
- Combination of RL and game theory for modeling human behavior☆11Updated 3 years ago