# nsidn98/InforMARL

<https://repo.masters-masters.com/en/repos/nsidn98/InforMARL>

[Home](https://repo.masters-masters.com/en) › [nsidn98](https://repo.masters-masters.com/en/owners/nsidn98) › [InforMARL](https://repo.masters-masters.com/en/repos/nsidn98/InforMARL)

nsidn98/InforMARL has 171 stars on GitHub. Its RepoMasters card: Prototype tier. Code for our paper: Scalable Multi-Agent Reinforcement Learning through…

| Field | Value |
| --- | --- |
| Owner | [nsidn98](https://repo.masters-masters.com/en/owners/nsidn98) |
| Stars | 171 |
| Forks | 34 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MIT |
| Created | 2022 |
| Topics | graph-neural-networks, graphneuralnetwork, multiagent-reinforcement-learning, navigation, reinforcement-learning, reinforcement-learning-algorithms, reinforcement-learning-environments, icml-2023 |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [nsidn98/InforMARL](https://github.com/nsidn98/InforMARL) |

## Repository

Code for our paper: Scalable Multi-Agent Reinforcement Learning through Intelligent Information Aggregation

The tier for repos with 100 to 249 ★. Published odds per card pulled: 70%. Rarity: Common.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.