Louiii / ValueDecompositionLinks
Value-Decomposition Networks For Cooperative Multi-Agent Learning
☆23Updated 4 years ago
Alternatives and similar repositories for ValueDecomposition
Users that are interested in ValueDecomposition are comparing it to the libraries listed below
Sorting:
- Deep recurrent Q learning on CartPole-v1 environment☆91Updated last year
- ☆42Updated 6 years ago
- RL projects including implementation of DQN/DDPG/MADDPG/BicNet on StarCraft II multi-agent learning environment SMAC☆48Updated 5 years ago
- Multi-agent project (commnet, bicnet, maddpg) in pytorch for Multi-Agent Particle Environment☆116Updated 2 years ago
- PyTorch implementation of the discrete Soft-Actor-Critic algorithm.☆54Updated 3 years ago
- Implementation for mSAC methods in PyTorch☆42Updated 3 years ago
- ☆89Updated 3 years ago
- The pytorch implementation of DGN on grid world and Starcraft☆145Updated 3 years ago
- MARLToolkit: The Multi-Agent Rainforcement Learning Toolkit. Include implementation of MAPPO, MADDPG, QMIX, VDN, COMA, IPPO, QTRAN, MAT..…☆142Updated last year
- PyTorch implementation of Foerster, Jakob N., et al. "Counterfactual multi-agent policy gradients."☆59Updated 5 years ago
- The code for maddpg using pytorch☆170Updated 4 years ago
- Project on multi agent reinforcement learning applied on patrolling agents☆40Updated 5 years ago
- Multi-Agent Constrained Policy Optimisation (MACPO; MAPPO-L).☆182Updated last year
- ICML 2019 RL for Real Life Workshop: Recurrent MADDPG for Partially Observable and Limited Communication Settings☆49Updated 5 years ago
- Implementation of Multi-Agent Reinforcement Learning algorithm(s). Currently includes: MADDPG☆65Updated 6 years ago
- qmix☆23Updated 5 years ago
- I used this paper as inspiration https://arxiv.org/pdf/1904.03367.pdf☆35Updated 2 years ago
- ☆215Updated 2 years ago
- ☆102Updated 3 years ago
- ☆13Updated 5 years ago
- Implementations of MAPPO and IPPO on SMAC, the multi-agent StarCraft environment.☆72Updated 3 years ago
- Clean implementation of Multi-Agent Reinforcement Learning methods (MADDPG, MATD3, MASAC, MAD4PG) in TensorFlow 2.x☆158Updated last year
- Code for the RL method MATD3 described in the paper "Reducing Overestimation Bias in Multi-Agent Domains Using Double Centralized Critics…☆86Updated 4 years ago
- Deep Q-learning (DQN) for Multi-agent Reinforcement Learning (RL)☆348Updated 5 years ago
- Code for Weighted QMIX☆138Updated 4 years ago
- A clean and robust Pytorch implementation of PPO on continuous action space.☆161Updated last year
- The official code releasement of publications in MARL field of TJU RL lab.☆80Updated 3 years ago
- pytorch实现的一些MARL算法☆67Updated 4 years ago
- Implementation of DyMA-CL, MARL algorithm☆28Updated 5 years ago
- This is the official implementation of Multi-Agent PPO.☆115Updated 2 years ago