Abluceli / Multi-agent-Reinforcement-Learning-AlgorithmsLinks
Multi-agent Reinforcement Learning Algorithms(COMA, VDN, QMIX)
☆15Updated 5 years ago
Alternatives and similar repositories for Multi-agent-Reinforcement-Learning-Algorithms
Users that are interested in Multi-agent-Reinforcement-Learning-Algorithms are comparing it to the libraries listed below
Sorting:
- Algorithm that combines QMIX with SAC for Multi-Agent Reinforcement Learning.☆50Updated 3 years ago
- 多智能体强化学习VDN、QMIX、QTRAN、QPLEX复现☆32Updated 2 years ago
- Transplant a implementation of MADDPG to the environment provided by openAI (multiagent-particle-envs).☆20Updated 7 years ago
- Clean implementation of Multi-Agent Reinforcement Learning methods (MADDPG, MATD3, MASAC, MAD4PG) in TensorFlow 2.x☆156Updated last year
- 多智能体强化学习（MARL）算法复现，包括QMIX，VDN，QTRAN、MAVEN等等☆202Updated 3 years ago
- Simple and efficient implementation of DQN DDPG TD3 SAC PPO MADDPG MATD3 MASAC MAAC IPPO MAPPO HAPPO MAT MORL☆93Updated this week
- RL projects including implementation of DQN/DDPG/MADDPG/BicNet on StarCraft II multi-agent learning environment SMAC☆48Updated 5 years ago
- The code for maddpg using pytorch☆170Updated 4 years ago
- demo of multi-agent reinforcement learning algorithms, such as ATT-MADDPG (Modelling the Dynamic Joint Policy of Teammates with Attention…☆60Updated 3 years ago
- Code for the RL method MATD3 described in the paper "Reducing Overestimation Bias in Multi-Agent Domains Using Double Centralized Critics…☆87Updated 4 years ago
- Jax and Torch Multi-Agent SAC on PettingZoo API☆86Updated 7 months ago
- my code for paper Parameterized-DQN☆22Updated 4 years ago
- PyTorch implementations of MADDPG, MAPPO (coming)☆157Updated last year
- A Pytorch implementation of the multi agent deep deterministic policy gradients (MADDPG) algorithm☆349Updated 4 years ago
- Lightweight multi-agent PPO for IEEE field.☆14Updated 3 years ago
- Use Multi-agent Twin Delayed Deep Deterministic Policy Gradient(TD3) algorithm to find reasonable paths for ships☆64Updated 2 years ago
- Project on multi agent reinforcement learning applied on patrolling agents☆40Updated 5 years ago
- Implementation of Deep Deterministic Policy Gradient (DDPG) with Prioritized Experience Replay (PER)☆51Updated 4 months ago
- MARLToolkit: The Multi-Agent Rainforcement Learning Toolkit. Include implementation of MAPPO, MADDPG, QMIX, VDN, COMA, IPPO, QTRAN, MAT..…☆140Updated last year
- Use Multi-Agent Deep Deterministic Policy Gradient(DDPG) algorithm to find reasonable paths for ships☆37Updated 2 years ago
- implementation of MADDPG using PettingZoo and PyTorch☆151Updated last year
- Codes for paper of 'Solving job scheduling problems in a resource preemption environment with multi-agent reinforcement learning'☆44Updated 2 years ago
- Parametrized Deep Q-Networks Learning: Reinforcement Learning with Discrete-Continuous Hybrid Action Space☆49Updated 3 years ago
- Implementations of MAPPO and IPPO on SMAC, the multi-agent StarCraft environment.☆72Updated 3 years ago
- Deep Q-learning (DQN) for Multi-agent Reinforcement Learning (RL)☆347Updated 5 years ago
- D3QN Pytorch☆63Updated 3 years ago
- PyTorch implementations of popular off-policy multi-agent reinforcement learning algorithms, including QMix, VDN, MADDPG, and MATD3.☆489Updated last year
- Source code of paper "A Hierarchical Reinforcement Learning Algorithm Based on Attention Mechanism for UAV Autonomous Navigation"☆22Updated 2 years ago
- MiniMax Multi-Agent Deep Deterministic Policy Gradient (M3DDPG) pytorch implementation☆12Updated 4 years ago
- This is a reinforcement learning algorithm library. The code takes into account both performance and simplicity, with little dependence.☆101Updated 3 years ago