# TonghanWang/ROMA

<https://repo.masters-masters.com/en/repos/TonghanWang/ROMA>

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

TonghanWang/ROMA has 174 stars on GitHub. Its RepoMasters card: Prototype tier. Codes accompanying the paper "ROMA: Multi-Agent Reinforcement Learning with…

| Field | Value |
| --- | --- |
| Owner | [TonghanWang](https://repo.masters-masters.com/en/owners/TonghanWang) |
| Stars | 174 |
| Forks | 40 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | Apache-2.0 |
| Created | 2020 |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [TonghanWang/ROMA](https://github.com/TonghanWang/ROMA) |

## Repository

Codes accompanying the paper "ROMA: Multi-Agent Reinforcement Learning with Emergent Roles" (ICML 2020 https://arxiv.org/abs/2003.08039)

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

## Nearby in Python

- [tinnel123666888/OmniJev · ★ 174 · Python · Prototype](https://repo.masters-masters.com/en/repos/tinnel123666888/OmniJev)
- [lucky-Luor/bilibili-douyin-notes · ★ 174 · Python · Prototype](https://repo.masters-masters.com/en/repos/lucky-Luor/bilibili-douyin-notes)
- [1337isnot1337/DOPPLERGEIST · ★ 174 · Python · Prototype](https://repo.masters-masters.com/en/repos/1337isnot1337/DOPPLERGEIST)
- [justquick/django-varnish · ★ 174 · Python · Prototype](https://repo.masters-masters.com/en/repos/justquick/django-varnish)
- [satanas/Turpial · ★ 174 · Python · Prototype](https://repo.masters-masters.com/en/repos/satanas/Turpial)
- [ccnmtl/fdfgen · ★ 174 · Python · Prototype](https://repo.masters-masters.com/en/repos/ccnmtl/fdfgen)

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