# jcwleo/Reinforcement\_Learning

<https://repo.masters-masters.com/en/repos/jcwleo/Reinforcement_Learning>

[Home](https://repo.masters-masters.com/en) › [jcwleo](https://repo.masters-masters.com/en/owners/jcwleo) › [Reinforcement\_Learning](https://repo.masters-masters.com/en/repos/jcwleo/Reinforcement_Learning)

jcwleo/Reinforcement\_Learning has 117 stars on GitHub. Its RepoMasters card: Prototype tier. 강화학습에 대한 기본적인 알고리즘 구현 Language: Python.

| Field | Value |
| --- | --- |
| Owner | [jcwleo](https://repo.masters-masters.com/en/owners/jcwleo) |
| Stars | 117 |
| Forks | 31 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | None |
| Created | 2017 |
| Topics | reinforcement-learning, reinforcement-learning-algorithms, deep-learning, dqn, tensorflow, cartpole, breakout, policy-gradient, pong, pytorch |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [jcwleo/Reinforcement\_Learning](https://github.com/jcwleo/Reinforcement_Learning) |

## Repository

강화학습에 대한 기본적인 알고리즘 구현

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.