# opendilab/ACE

<https://repo.masters-masters.com/en/repos/opendilab/ACE>

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

opendilab/ACE has 260 stars on GitHub. Its RepoMasters card: Alpha tier. \[AAAI 2023\] Official PyTorch implementation of paper "ACE: Cooperative Multi-agent…

| Field | Value |
| --- | --- |
| Owner | [opendilab](https://repo.masters-masters.com/en/owners/opendilab) |
| Stars | 260 |
| Forks | 11 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | Apache-2.0 |
| Created | 2022 |
| Topics | gfootball, multi-agent, multi-agent-reinforcement-learning, reinforcement-learning, smac |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [opendilab/ACE](https://github.com/opendilab/ACE) |

## Repository

\[AAAI 2023\] Official PyTorch implementation of paper "ACE: Cooperative Multi-agent Q-learning with Bidirectional Action-Dependency".

The tier for repos with 250 to 699 ★. Published odds per card pulled: 20%. Rarity: Uncommon.

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