# adik993/ppo-pytorch

<https://repo.masters-masters.com/en/repos/adik993/ppo-pytorch>

[Home](https://repo.masters-masters.com/en) › [adik993](https://repo.masters-masters.com/en/owners/adik993) › [ppo-pytorch](https://repo.masters-masters.com/en/repos/adik993/ppo-pytorch)

adik993/ppo-pytorch has 149 stars on GitHub. Its RepoMasters card: Prototype tier. Proximal Policy Optimization(PPO) with Intrinsic Curiosity Module(ICM)

| Field | Value |
| --- | --- |
| Owner | [adik993](https://repo.masters-masters.com/en/owners/adik993) |
| Stars | 149 |
| Forks | 27 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | None |
| Created | 2019 |
| Topics | reinforcement-learning, ppo, pytorch, icm, intrinsic-curiosity-module, proximal-policy-optimization, generalized-advantage-estimation, cartpole-v1, mountaincar-v0, pendulum-v0 |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [adik993/ppo-pytorch](https://github.com/adik993/ppo-pytorch) |

## Repository

Proximal Policy Optimization(PPO) with Intrinsic Curiosity Module(ICM)

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.