# shariqiqbal2810/MAAC

<https://repo.masters-masters.com/en/repos/shariqiqbal2810/MAAC>

[Home](https://repo.masters-masters.com/en) › [shariqiqbal2810](https://repo.masters-masters.com/en/owners/shariqiqbal2810) › [MAAC](https://repo.masters-masters.com/en/repos/shariqiqbal2810/MAAC)

shariqiqbal2810/MAAC has 812 stars on GitHub. Its RepoMasters card: Beta tier. Code for "Actor-Attention-Critic for Multi-Agent Reinforcement Learning" ICML…

| Field | Value |
| --- | --- |
| Owner | [shariqiqbal2810](https://repo.masters-masters.com/en/owners/shariqiqbal2810) |
| Stars | 812 |
| Forks | 180 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MIT |
| Created | 2018 |
| Tier | [Beta (700 to 1,999 ★)](https://repo.masters-masters.com/en/ranks/box_office) |
| View on GitHub | [shariqiqbal2810/MAAC](https://github.com/shariqiqbal2810/MAAC) |

## Repository

Code for "Actor-Attention-Critic for Multi-Agent Reinforcement Learning" ICML 2019

The tier for repos with 700 to 1,999 ★. Published odds per card pulled: 6%. Rarity: Rare.

## More repos by shariqiqbal2810

- [shariqiqbal2810/maddpg-pytorch · ★ 692 · Python · Alpha](https://repo.masters-masters.com/en/repos/shariqiqbal2810/maddpg-pytorch)

## Nearby in Python

- [vince-lam/awesome-local-llms · ★ 812 · Python · Beta](https://repo.masters-masters.com/en/repos/vince-lam/awesome-local-llms)
- [ucsdsysnet/dontlookup · ★ 812 · Python · Beta](https://repo.masters-masters.com/en/repos/ucsdsysnet/dontlookup)
- [Snaplii-Inc/agent-to-merchant-payments · ★ 812 · Python · Beta](https://repo.masters-masters.com/en/repos/Snaplii-Inc/agent-to-merchant-payments)
- [TurboGears/tg2 · ★ 812 · Python · Beta](https://repo.masters-masters.com/en/repos/TurboGears/tg2)
- [csparpa/pyowm · ★ 812 · Python · Beta](https://repo.masters-masters.com/en/repos/csparpa/pyowm)
- [withlogicco/ceryx · ★ 812 · Python · Beta](https://repo.masters-masters.com/en/repos/withlogicco/ceryx)

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