ThousandOfWind / DRL-baselineLinks
Re-produce DQN, REINFORCE, REINFORCE with baseline, one-step AC, QAC, QAC with shared network, PPO2, DDPG, TD3, SAC, SAC discrete，A2C，A3C
☆19Updated 5 years ago
Alternatives and similar repositories for DRL-baseline
Users that are interested in DRL-baseline are comparing it to the libraries listed below
Sorting:
- Source code for the paper <Joint Control of Manufacturing and Onsite Microgrid System via Novel Neural-Network Integrated Reinforcement L…☆22Updated last year
- Transformer-based Multi-Agent Actor-Critic Framework☆47Updated 3 years ago
- 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
- PyTorch implementation of Constrained Reinforcement Learning for Soft Actor Critic Algorithm☆51Updated 3 years ago
- 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 3 years ago
- ☆57Updated 7 months ago
- 强化学习中纳什Qlearning 实现矩阵博弈☆30Updated 6 years ago
- Official implementation for the NeurIPS 2023 paper: "Reduced Policy Optimization for Continuous Control with Hard Constraints"☆38Updated last year
- RL for Energy Management of Microgrids☆10Updated 5 years ago
- A pytorch implementation of Constrained Reinforcement Learning Algorithm, including Constrained Soft Actor Critic (Soft Actor Critic Lagr…☆41Updated 2 years ago
- ☆23Updated last year
- Implementation of Pareto Deep Q Networks in a multi-objective Gym Reinforcement Learning Environment☆16Updated 2 years ago
- Nash Q Learning☆31Updated 4 years ago
- code for paper "Two-Critic Deep Reinforcement Learning for Inverter-based Volt-Var Control in Active Distribution Networks"☆14Updated last year
- A pytorch implementation of the methods described in the paper "Deep Reinforcement Learning for Continuous Electric Vehicles Charging Con…☆29Updated last year
- A clean and robust implementation of Prioritized DQN and Prioritized Double DQN☆21Updated last year
- This project is the source code of paper "Optimizing bidding strategy in electricity market based on graph convolutional neural network a…☆18Updated 4 months ago
- Implementation of Q-Learning as Finite Markov Decision Process☆27Updated last year
- Multi-Agent Graph Convolutional Reinforcement Learning for Dynamic Electric Vehicle Charging Pricing☆67Updated 2 years ago
- Parametrized Deep Q-Networks Learning: Reinforcement Learning with Discrete-Continuous Hybrid Action Space☆53Updated 3 years ago
- Basic reinforcement learning algorithms. Including:DQN,Double DQN, Dueling DQN, SARSA, REINFORCE, baseline-REINFORCE, Actor-Critic,DDPG,D…☆91Updated 4 years ago
- qmix☆23Updated 5 years ago
- ☆42Updated 3 years ago
- Multi-Agent Reinforcement Learning approach to solve a battery charge scheduling problem, in a decentralized scenario.☆16Updated 4 years ago
- my code for paper Parameterized-DQN☆22Updated 4 years ago
- This repository is for an open-source environment for multi-agent active voltage control on power distribution networks (MAPDN).☆267Updated 2 months ago
- Deep Q Network for Multi-agent RL☆15Updated 4 years ago
- Meta-Learning-based Deep Reinforcement Learning for Multiobjective Optimization Problems☆37Updated last year
- code implementation for 'Bi-level Actor-Critic for Multi-agent Coordination'(AAAI2020)☆60Updated 5 years ago
- CityLearn Challenge Multi-Agent Reinforcement Learning for Intelligent Energy Management, 2020, PikaPika team☆27Updated 3 years ago