Skylarking / MARLLinks
多智能体强化学习VDN、QMIX、QTRAN、QPLEX复现
☆35Updated 2 years ago
Alternatives and similar repositories for MARL
Users that are interested in MARL are comparing it to the libraries listed below
Sorting:
- Algorithm that combines QMIX with SAC for Multi-Agent Reinforcement Learning.☆57Updated 3 years ago
- Jax and Torch Multi-Agent SAC on PettingZoo API☆98Updated last year
- demo of multi-agent reinforcement learning algorithms, such as ATT-MADDPG (Modelling the Dynamic Joint Policy of Teammates with Attention…☆64Updated 4 years ago
- Simple and efficient implementation of DQN DDPG TD3 SAC PPO MADDPG MATD3 MASAC MAAC IPPO MAPPO HAPPO MAT MORL☆145Updated 2 weeks ago
- Code for the RL method MATD3 described in the paper "Reducing Overestimation Bias in Multi-Agent Domains Using Double Centralized Critics…☆91Updated 5 years ago
- Use Multi-agent Twin Delayed Deep Deterministic Policy Gradient(TD3) algorithm to find reasonable paths for ships☆65Updated 3 years ago
- implementation of MADDPG using PettingZoo and PyTorch☆162Updated 2 years ago
- Clean implementation of Multi-Agent Reinforcement Learning methods (MADDPG, MATD3, MASAC, MAD4PG) in TensorFlow 2.x☆166Updated 2 years ago
- Multi-agent Reinforcement Learning Algorithms(COMA, VDN, QMIX)☆15Updated 5 years ago
- PyTorch implementations of MADDPG, MAPPO (coming)☆185Updated last year
- Heterogeneous Hierarchical Multi Agent Reinforcement Learning for Air Combat☆151Updated 8 months ago
- 多智能体强化学习(MARL)算法复现,包括QMIX,VDN,QTRAN、MAVEN等等☆212Updated 3 years ago
- MARLToolkit: The Multi-Agent Rainforcement Learning Toolkit. Include implementation of MAPPO, MADDPG, QMIX, VDN, COMA, IPPO, QTRAN, MAT..…☆152Updated last year
- This is a personal library that strives to implement various MARL algorithms. The environment only integrates MPE, and the algorithm curr…☆15Updated 7 months ago
- Codes for paper of 'Solving job scheduling problems in a resource preemption environment with multi-agent reinforcement learning'☆52Updated 2 years ago
- Use Multi-Agent Deep Deterministic Policy Gradient(DDPG) algorithm to find reasonable paths for ships☆35Updated 3 years ago
- my code for paper Parameterized-DQN☆25Updated 4 years ago
- Parametrized Deep Q-Networks Learning: Reinforcement Learning with Discrete-Continuous Hybrid Action Space☆60Updated 3 years ago
- A Pytorch implementation of the multi agent deep deterministic policy gradients (MADDPG) algorithm☆372Updated 4 years ago
- Implementations of MAPPO and IPPO on SMAC, the multi-agent StarCraft environment.☆74Updated 3 years ago
- Code for our paper: Scalable Multi-Agent Reinforcement Learning through Intelligent Information Aggregation☆141Updated 5 months ago
- PyTorch implementation of MATD3☆13Updated 5 years ago
- A Collection of Multi-Agent Reinforcement Learning (MARL) Resources☆257Updated 3 years ago
- Transplant a implementation of MADDPG to the environment provided by openAI (multiagent-particle-envs).☆20Updated 7 years ago
- This is a reinforcement learning algorithm library. The code takes into account both performance and simplicity, with little dependence.☆107Updated 3 years ago
- Is Centralized Training with Decentralized Execution Framework Centralized Enough for MARL?☆29Updated last year
- 🎾 Multi-Agent Proximal Policy Optimization approach to a competitive reinforcement learning problem☆22Updated 3 years ago
- The official code releasement of publications in MARL field of TJU RL lab.☆83Updated 3 years ago
- This is the source code of "Efficient training techniques for multi-agent reinforcement learning in combatant tasks".☆100Updated 5 years ago
- Multi-agent Combat Arena (UAV swarm vs UAV swarm)☆157Updated 5 years ago