hijkzzz / noisy-mappoLinks
Multi-agent PPO with noise (97% win rates on Hard scenarios of SMAC)
☆70Updated 2 years ago
Alternatives and similar repositories for noisy-mappo
Users that are interested in noisy-mappo are comparing it to the libraries listed below
Sorting:
- Implementations of MAPPO and IPPO on SMAC, the multi-agent StarCraft environment.☆71Updated 3 years ago
- Multi-Agent Constrained Policy Optimisation (MACPO; MAPPO-L).☆197Updated last year
- pytorch实现的一些MARL算法☆68Updated 4 years ago
- MARLToolkit: The Multi-Agent Rainforcement Learning Toolkit. Include implementation of MAPPO, MADDPG, QMIX, VDN, COMA, IPPO, QTRAN, MAT..…☆146Updated last year
- Multi-agent project (commnet, bicnet, maddpg) in pytorch for Multi-Agent Particle Environment☆116Updated 2 years ago
- The official code releasement of publications in MARL field of TJU RL lab.☆81Updated 3 years ago
- ☆217Updated 2 years ago
- We extend pymarl2 to pymarl3, equipping the MARL algorithms with permutation invariance and permutation equivariance properties. The enh…☆169Updated last year
- Code for Weighted QMIX☆142Updated 4 years ago
- ☆104Updated 4 years ago
- ☆40Updated 3 years ago
- This is the official implementation of Multi-Agent PPO.☆121Updated 2 years ago
- ☆44Updated 3 years ago
- ☆97Updated 4 years ago
- Implementation for mSAC methods in PyTorch☆41Updated 4 years ago
- The implementation of AAAI 2022 paper "Multi-Agent Incentive Communication via Decentralized Teammate Modeling".☆59Updated last year
- Official Implementation of 'UPDeT: Universal Multi-agent Reinforcement Learning via Policy Decoupling with Transformers' ICLR 2021(spotli…☆135Updated 4 years ago
- Implementation of DyMA-CL, MARL algorithm☆28Updated 5 years ago
- The offcial implementation of "ToM2C: Target-oriented Multi-agent Communication and Cooperation with Theory of Mind" (ICLR 2022) .☆71Updated 11 months ago
- [NeurIPS 2021] CDS achieves remarkable success in challenging benchmarks SMAC and GRF by balancing sharing and diversity.☆87Updated 2 years ago
- Codes of GoMARL accompanying the paper "Automatic Grouping for Efficient Cooperative Multi-Agent Reinforcement Learning"(NeurIPS 2023). G…☆29Updated last year
- PyTorch implementation of Foerster, Jakob N., et al. "Counterfactual multi-agent policy gradients."☆61Updated 5 years ago
- There will be updates later☆86Updated 6 years ago
- Deep recurrent Q learning on CartPole-v1 environment☆94Updated last year
- A Pytorch Implementation of Multi Agent Soft Actor Critic☆42Updated 6 years ago
- Hierarchical Cooperative Multi-Agent Reinforcement Learning with Skill Discovery☆106Updated 3 years ago
- PyTorch implementation of the discrete Soft-Actor-Critic algorithm.☆54Updated 4 years ago
- Code for "Randomized Entity-wise Factorization for Multi-Agent Reinforcement Learning" ICML 2021☆65Updated 4 years ago
- Value-Decomposition Multi-Agent Actor-Critics☆40Updated 2 years ago
- The implement of the policy gradient RL algorithm with pytorch☆40Updated 4 years ago