HyunghoNa / EMULinks
(Official) PyTorch implementation for Efficient Episodic Memory Utilization of Cooperative Multi-Agent Reinforcement Learning (EMU) (ICLR 2024, Oral)
☆49Updated last year
Alternatives and similar repositories for EMU
Users that are interested in EMU are comparing it to the libraries listed below
Sorting:
- [ICLR 2024] Official Implementation of ACORM☆58Updated last year
- Adversarial Reinforcement Learning papers (single-agent setting and multi-agent setting)☆71Updated 2 years ago
- Multi-Agent Constrained Policy Optimisation (MACPO; MAPPO-L).☆181Updated last year
- We extend pymarl2 to pymarl3, equipping the MARL algorithms with permutation invariance and permutation equivariance properties. The enh…☆159Updated last year
- Codes of GoMARL accompanying the paper "Automatic Grouping for Efficient Cooperative Multi-Agent Reinforcement Learning"(NeurIPS 2023). G…☆29Updated 11 months ago
- The official code releasement of publications in MARL field of TJU RL lab.☆79Updated 3 years ago
- MARLToolkit: The Multi-Agent Rainforcement Learning Toolkit. Include implementation of MAPPO, MADDPG, QMIX, VDN, COMA, IPPO, QTRAN, MAT..…☆141Updated last year
- ☆41Updated 3 years ago
- ☆215Updated 2 years ago
- ☆101Updated 3 years ago
- ☆39Updated 3 years ago
- Multi-agent PPO with noise (97% win rates on Hard scenarios of SMAC)☆68Updated 2 years ago
- Implementations of MAPPO and IPPO on SMAC, the multi-agent StarCraft environment.☆72Updated 3 years ago
- Code for our paper: Scalable Multi-Agent Reinforcement Learning through Intelligent Information Aggregation☆118Updated last month
- Code for the NeurIPS 2023 Paper: Robust Multi-Agent Reinforcement Learning via Adversarial Regularization: Theoretical Foundation and Sta…☆26Updated last year
- ICLR'2024: Learning Multi-Agent Communication from Graph Modeling Perspective☆34Updated last year
- Deep recurrent Q learning on CartPole-v1 environment☆91Updated last year
- Multi-agent project (commnet, bicnet, maddpg) in pytorch for Multi-Agent Particle Environment☆117Updated 2 years ago
- Code for "Constrained Variational Policy Optimization for Safe Reinforcement Learning" (ICML 2022)☆80Updated 2 years ago
- pytorch实现的一些MARL算法☆67Updated 4 years ago
- [NeurIPS 2021] CDS achieves remarkable success in challenging benchmarks SMAC and GRF by balancing sharing and diversity.☆85Updated 2 years ago
- The implementation of ICLR 2023 paper "Discovering Generalizable Multi-agent Coordination Skills from Multi-task Offline Data".☆43Updated 9 months ago
- ☆50Updated 3 years ago
- This is the official implementation of Multi-Agent PPO.☆113Updated 2 years ago
- The official implementation of "Transformer in Transformer as Backbone for Deep Reinforcement Learning"☆57Updated last year
- Implementation of HIRO (Data-Efficient Hierarchical Reinforcement Learning)☆111Updated 4 years ago
- Code for "ALMA: Hierarchical Learning for Composite Multi-Agent Tasks" NeurIPS 2022☆30Updated 2 years ago
- This is the official code repository for the paper "Decoding Global Preferences: Temporal and Cooperative Dependency Modeling in Multi-Ag…☆10Updated 6 months ago
- [ICML' 24] The PyTorch implementation of our paper: "Individual Contributions as Intrinsic Exploration Scaffolds for Multi-agent Reinforc…☆20Updated last year
- ☆60Updated 4 years ago