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
☆21Updated 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:
- 强化学习中纳什Qlearning 实现矩阵博弈☆30Updated 6 years ago
- Transformer-based Multi-Agent Actor-Critic Framework☆46Updated 3 years ago
- Implementation of Pareto Deep Q Networks in a multi-objective Gym Reinforcement Learning Environment☆16Updated 2 years ago
- PyTorch implementation of Constrained Reinforcement Learning for Soft Actor Critic Algorithm☆61Updated 3 years ago
- Deep Q Network for Multi-agent RL☆15Updated 5 years ago
- ☆62Updated last year
- Implementations of MAPPO and IPPO on SMAC, the multi-agent StarCraft environment.☆77Updated 3 years ago
- A pytorch implementation of Constrained Reinforcement Learning Algorithm, including Constrained Soft Actor Critic (Soft Actor Critic Lagr…☆45Updated 2 years ago
- Implementation of Q-Learning as Finite Markov Decision Process☆28Updated 2 years ago
- Source code for the paper <Joint Control of Manufacturing and Onsite Microgrid System via Novel Neural-Network Integrated Reinforcement L…☆25Updated last year
- Pytorch realization of multiple Deep Reinforcement Learning alogrithms(DQN,DDPG,TD3,PPO,A3C...) with openai gym☆58Updated 4 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 5 years ago
- Official implementation for the NeurIPS 2023 paper: "Reduced Policy Optimization for Continuous Control with Hard Constraints"☆41Updated last year
- Basic reinforcement learning algorithms. Including:DQN,Double DQN, Dueling DQN, SARSA, REINFORCE, baseline-REINFORCE, Actor-Critic,DDPG,D…☆96Updated 4 years ago
- Deep recurrent Q learning on CartPole-v1 environment☆94Updated 2 years ago
- Clean implementation of Multi-Agent Reinforcement Learning methods (MADDPG, MATD3, MASAC, MAD4PG) in TensorFlow 2.x☆166Updated 2 years ago
- DQN by Matlab and Python☆34Updated 5 years ago
- Multi-objective reinforcement learning deals with finding policies for tasks where there are multiple distinct criteria to optimize for. …☆24Updated 7 years ago
- my code for paper Parameterized-DQN☆25Updated 4 years ago
- qmix☆23Updated 5 years ago
- A clean and robust implementation of Prioritized DQN and Prioritized Double DQN☆24Updated last year
- RL for Energy Management of Microgrids☆10Updated 5 years ago
- A novel preference-driven multi-objective reinforcement learning algorithm using a single policy network that covers the entire preferenc…☆39Updated 2 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…☆15Updated 3 years ago
- ☆27Updated last year
- The implement of the policy gradient RL algorithm with pytorch☆40Updated 5 years ago
- Nash Q Learning☆32Updated 5 years ago
- 多智能体强化学习(MARL)算法复现,包括QMIX,VDN,QTRAN、MAVEN等等☆213Updated 3 years ago
- Deep Reinforcement Learning (DRL) algorithms have been successfully applied to a range of challenging simulated continuous control single…☆53Updated 6 years ago
- Multi-Agent Graph Convolutional Reinforcement Learning for Dynamic Electric Vehicle Charging Pricing☆74Updated 2 years ago