instadeepai / EGTA-NMARL
Experiments for performing empirical game-theoretic analysis of networked system control for common-pool resource management using multi-agent reinforcement learning.
☆18Updated 4 years ago
Alternatives and similar repositories for EGTA-NMARL:
Users that are interested in EGTA-NMARL are comparing it to the libraries listed below
- The code for AAMAS2022 《GCS: Graph-based Coordination Strategy for Multi-Agent Reinforcement Learning》☆40Updated 3 years ago
- Implementation of DyMA-CL, MARL algorithm☆26Updated 4 years ago
- Codes for the paper "HAVEN: Hierarchical Cooperative Multi-Agent Reinforcement Learning with Dual Coordination Mechanism"☆22Updated 2 years ago
- code implementation for 'Bi-level Actor-Critic for Multi-agent Coordination'(AAAI2020)☆59Updated 4 years ago
- Code for "ALMA: Hierarchical Learning for Composite Multi-Agent Tasks" NeurIPS 2022☆28Updated 2 years ago
- Official repository of the paper TransfQMix: Transformers for Leveraging the Graph Structure of Multi-Agent Reinforcement Learning Proble…☆47Updated 11 months ago
- Implementation code for GraphMIX: Graph Convolutional Value Decomposition in Multi-Agent Reinforcement Learning☆31Updated 4 years ago
- jinxinglim / Game-Theoretical-Approaches-in-Multi-Agent-Reinforcement-Learning-Policy-Space-Response-Oracles☆14Updated 5 years ago
- Implementation for mSAC methods in PyTorch☆41Updated 3 years ago
- ☆43Updated 4 years ago
- qmix☆22Updated 4 years ago
- ☆17Updated 2 years ago
- Implementations of MAPPO and IPPO on SMAC, the multi-agent StarCraft environment.☆63Updated 3 years ago
- A Pytorch Implementation of Multi Agent Soft Actor Critic☆40Updated 6 years ago
- Hierarchical Cooperative Multi-Agent Reinforcement Learning with Skill Discovery☆99Updated 2 years ago
- Multi-task Multi-agent Soft Actor Critic for SMAC☆12Updated 3 years ago
- Value-Decomposition Multi-Agent Actor-Critics☆40Updated 2 years ago
- Deep Implicit Coordination Graphs☆41Updated 10 months ago
- ICML 2019 RL for Real Life Workshop: Recurrent MADDPG for Partially Observable and Limited Communication Settings☆47Updated 5 years ago
- Nash Q Learning☆31Updated 4 years ago
- Pytorch implementation of "Succinct and Robust Multi-Agent Communication With Temporal Message Control"☆26Updated 4 years ago
- ☆11Updated 9 months ago
- The official code releasement of publications in MARL field of TJU RL lab.☆71Updated 2 years ago
- ☆38Updated 2 years ago
- ☆28Updated 3 years ago
- ☆18Updated 3 years ago
- ☆40Updated 3 years ago
- Decentralized deep multi-agent reinforcement learning in physical environments.☆13Updated 6 years ago
- There will be updates later☆84Updated 5 years ago
- ☆84Updated 3 years ago