# HumanCompatibleAI/adversarial-policies

<https://repo.masters-masters.com/en/repos/HumanCompatibleAI/adversarial-policies>

[Home](https://repo.masters-masters.com/en) › [HumanCompatibleAI](https://repo.masters-masters.com/en/owners/HumanCompatibleAI) › [adversarial-policies](https://repo.masters-masters.com/en/repos/HumanCompatibleAI/adversarial-policies)

HumanCompatibleAI/adversarial-policies has 286 stars on GitHub. Its RepoMasters card: Alpha tier. Find best-response to a fixed policy in multi-agent RL

| Field | Value |
| --- | --- |
| Owner | [HumanCompatibleAI](https://repo.masters-masters.com/en/owners/HumanCompatibleAI) |
| Stars | 286 |
| Forks | 48 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MIT |
| Created | 2018 |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [HumanCompatibleAI/adversarial-policies](https://github.com/HumanCompatibleAI/adversarial-policies) |

## Repository

Find best-response to a fixed policy in multi-agent RL

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.