JohannesAck / MATD3implementation
Code for the RL method MATD3 described in the paper "Reducing Overestimation Bias in Multi-Agent Domains Using Double Centralized Critics"
☆79Updated 4 years ago
Alternatives and similar repositories for MATD3implementation:
Users that are interested in MATD3implementation are comparing it to the libraries listed below
- Algorithm that combines QMIX with SAC for Multi-Agent Reinforcement Learning.☆43Updated 2 years ago
- Jax and Torch Multi-Agent SAC on PettingZoo API☆68Updated 2 months ago
- ☆93Updated 3 years ago
- MARLToolkit: The Multi-Agent Rainforcement Learning Toolkit. Include implementation of MAPPO, MADDPG, QMIX, VDN, COMA, IPPO, QTRAN, MAT..…☆114Updated 9 months ago
- Implementation of Deep Deterministic Policy Gradient (DDPG) with Prioritized Experience Replay (PER)☆48Updated 4 years ago
- demo of multi-agent reinforcement learning algorithms, such as ATT-MADDPG (Modelling the Dynamic Joint Policy of Teammates with Attention…☆52Updated 3 years ago
- Clean implementation of Multi-Agent Reinforcement Learning methods (MADDPG, MATD3, MASAC, MAD4PG) in TensorFlow 2.x☆139Updated last year
- Implementations of MAPPO and IPPO on SMAC, the multi-agent StarCraft environment.☆60Updated 2 years ago
- implementation of MADDPG using PettingZoo and PyTorch☆122Updated last year
- Multi-Agent Constrained Policy Optimisation (MACPO; MAPPO-L).☆157Updated 9 months ago
- Multi-agent project (commnet, bicnet, maddpg) in pytorch for Multi-Agent Particle Environment☆113Updated 2 years ago
- Code for Weighted QMIX☆126Updated 4 years ago
- ICML 2019 RL for Real Life Workshop: Recurrent MADDPG for Partially Observable and Limited Communication Settings☆43Updated 5 years ago
- PyTorch implementations of MADDPG, MAPPO (coming)☆105Updated 10 months ago
- Use Multi-agent Twin Delayed Deep Deterministic Policy Gradient(TD3) algorithm to find reasonable paths for ships☆55Updated 2 years ago
- Project on multi agent reinforcement learning applied on patrolling agents☆38Updated 5 years ago
- Parametrized Deep Q-Networks Learning: Reinforcement Learning with Discrete-Continuous Hybrid Action Space☆41Updated 2 years ago
- 多智能体强化学习VDN、QMIX、QTRAN、QPLEX复现☆29Updated last year
- Multi-agent Reinforcement Learning Algorithms(COMA, VDN, QMIX)☆13Updated 4 years ago
- RL projects including implementation of DQN/DDPG/MADDPG/BicNet on StarCraft II multi-agent learning environment SMAC☆45Updated 4 years ago
- The code for maddpg using pytorch☆164Updated 4 years ago
- This is the official implementation of Multi-Agent PPO.☆102Updated 2 years ago
- pytorch实现的一些MARL算法☆65Updated 3 years ago
- Transplant a implementation of MADDPG to the environment provided by openAI (multiagent-particle-envs).☆17Updated 6 years ago
- The state-of-the-art in multi-agent Reinforcement Learning is the MADDPG algorithm which utilises DDPG actor-critic neural networks where…☆26Updated 5 years ago
- A clean and robust Pytorch implementation of SAC on discrete action space☆34Updated 3 months ago
- Deep recurrent Q learning on CartPole-v1 environment☆83Updated last year
- ☆191Updated last year
- PyTorch implementation of MATD3☆13Updated 4 years ago
- Codes of GoMARL accompanying the paper "Automatic Grouping for Efficient Cooperative Multi-Agent Reinforcement Learning"(NeurIPS 2023). G…☆22Updated 5 months ago