yangchen1997 / Multi-Agent-Reinforcement-LearningLinks
PyTorch implements multi-agent reinforcement learning algorithms, including QMIX, Independent PPO, Centralized PPO, Grid Wise Control, Grid Wise Control+PPO, Grid Wise Control+DDPG.
☆237Updated last year
Alternatives and similar repositories for Multi-Agent-Reinforcement-Learning
Users that are interested in Multi-Agent-Reinforcement-Learning are comparing it to the libraries listed below
Sorting:
- PyTorch implementations of popular off-policy multi-agent reinforcement learning algorithms, including QMix, VDN, MADDPG, and MATD3.☆496Updated 2 years ago
- One repository is all that is necessary for Multi-agent Reinforcement Learning (MARL)☆1,143Updated 9 months ago
- We extend pymarl2 to pymarl3, equipping the MARL algorithms with permutation invariance and permutation equivariance properties. The enh…☆161Updated last year
- Multi-agent project (commnet, bicnet, maddpg) in pytorch for Multi-Agent Particle Environment☆116Updated 2 years ago
- MARLToolkit: The Multi-Agent Rainforcement Learning Toolkit. Include implementation of MAPPO, MADDPG, QMIX, VDN, COMA, IPPO, QTRAN, MAT..…☆142Updated last year
- ☆216Updated 2 years ago
- Multi-Agent Reinforcement Learning (MARL) papers☆271Updated 2 years ago
- 📚 List of Top-tier Conference Papers on Reinforcement Learning (RL)，including: NeurIPS, ICML, AAAI, IJCAI, AAMAS, ICLR, ICRA, etc.☆334Updated last year
- Multi-Agent Constrained Policy Optimisation (MACPO; MAPPO-L).☆185Updated last year
- Clean implementation of Multi-Agent Reinforcement Learning methods (MADDPG, MATD3, MASAC, MAD4PG) in TensorFlow 2.x☆158Updated last year
- This is the official implementation of Multi-Agent PPO.☆115Updated 2 years ago
- DRLib：a Concise Deep Reinforcement Learning Library, Integrating HER, PER and D2SR for Almost Off-Policy RL Algorithms.☆554Updated last year
- The official code releasement of publications in MARL field of TJU RL lab.☆80Updated 3 years ago
- Source code for the dissertation: "Multi-Pass Deep Q-Networks for Reinforcement Learning with Parameterised Action Spaces"☆220Updated 6 years ago
- Multi-Agent Reinforcement Learning (MARL) papers with code☆389Updated 2 years ago
- An extension of the PyMARL codebase that includes additional algorithms and environment support☆622Updated 11 months ago
- Jax and Torch Multi-Agent SAC on PettingZoo API☆90Updated 9 months ago
- demo of multi-agent reinforcement learning algorithms, such as ATT-MADDPG (Modelling the Dynamic Joint Policy of Teammates with Attention…☆60Updated 4 years ago
- ☆102Updated 3 years ago
- Pytorch implementation of the MARL algorithm, MADDPG, which correspondings to the paper "Multi-Agent Actor-Critic for Mixed Cooperative-C…☆644Updated 3 years ago
- A clean and robust Pytorch implementation of PPO on continuous action space.☆162Updated last year
- 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
- Code for Weighted QMIX☆138Updated 4 years ago
- implementation of MADDPG using PettingZoo and PyTorch☆154Updated last year
- A Pytorch implementation of the multi agent deep deterministic policy gradients (MADDPG) algorithm☆355Updated 4 years ago
- ☆430Updated last year
- The code for maddpg using pytorch☆170Updated 4 years ago
- Deep recurrent Q learning on CartPole-v1 environment☆91Updated last year
- Implementations of MAPPO and IPPO on SMAC, the multi-agent StarCraft environment.☆72Updated 3 years ago
- A Collection of Multi-Agent Reinforcement Learning (MARL) Resources☆248Updated 2 years ago