# amazon-science/meta-q-learning

<https://repo.masters-masters.com/en/repos/amazon-science/meta-q-learning>

[Home](https://repo.masters-masters.com/en) › [amazon-science](https://repo.masters-masters.com/en/owners/amazon-science) › [meta-q-learning](https://repo.masters-masters.com/en/repos/amazon-science/meta-q-learning)

amazon-science/meta-q-learning has 108 stars on GitHub. Its RepoMasters card: Prototype tier. Code for the paper "Meta-Q-Learning"( ICLR 2020) Language: Python.

| Field | Value |
| --- | --- |
| Owner | [amazon-science](https://repo.masters-masters.com/en/owners/amazon-science) |
| Stars | 108 |
| Forks | 18 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | None |
| Created | 2020 |
| Topics | deep-learning, meta-learning, reinforcement-learning, multi-task-learning |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [amazon-science/meta-q-learning](https://github.com/amazon-science/meta-q-learning) |

## Repository

Code for the paper "Meta-Q-Learning"( ICLR 2020)

Archived: this repository is read-only

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.