# reddy-lab-code-research/PPOCoder

<https://repo.masters-masters.com/en/repos/reddy-lab-code-research/PPOCoder>

[Home](https://repo.masters-masters.com/en) › [reddy-lab-code-research](https://repo.masters-masters.com/en/owners/reddy-lab-code-research) › [PPOCoder](https://repo.masters-masters.com/en/repos/reddy-lab-code-research/PPOCoder)

reddy-lab-code-research/PPOCoder has 116 stars on GitHub. Its RepoMasters card: Prototype tier. Code for the TMLR 2023 paper "PPOCoder: Execution-based Code…

| Field | Value |
| --- | --- |
| Owner | [reddy-lab-code-research](https://repo.masters-masters.com/en/owners/reddy-lab-code-research) |
| Stars | 116 |
| Forks | 12 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MIT |
| Created | 2022 |
| Topics | code-generation, deep-reinforcement-learning, language-model, programming-language |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [reddy-lab-code-research/PPOCoder](https://github.com/reddy-lab-code-research/PPOCoder) |

## Repository

Code for the TMLR 2023 paper "PPOCoder: Execution-based Code Generation using Deep Reinforcement Learning"

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.