# Khrylx/PyTorch-RL

<https://repo.masters-masters.com/en/repos/Khrylx/PyTorch-RL>

[Home](https://repo.masters-masters.com/en) › [Khrylx](https://repo.masters-masters.com/en/owners/Khrylx) › [PyTorch-RL](https://repo.masters-masters.com/en/repos/Khrylx/PyTorch-RL)

Khrylx/PyTorch-RL has 1,287 stars on GitHub. Its RepoMasters card: Beta tier. PyTorch implementation of Deep Reinforcement Learning: Policy Gradient methods…

| Field | Value |
| --- | --- |
| Owner | [Khrylx](https://repo.masters-masters.com/en/owners/Khrylx) |
| Stars | 1,287 |
| Forks | 192 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MIT |
| Created | 2017 |
| Topics | reinforcement-learning, policy-gradient, pytorch-rl, proximal-policy-optimization, trpo, ppo, pytorch, a2c, generative-adversarial-network, fisher-vectors |
| Tier | [Beta (700 to 1,999 ★)](https://repo.masters-masters.com/en/ranks/box_office) |
| View on GitHub | [Khrylx/PyTorch-RL](https://github.com/Khrylx/PyTorch-RL) |

## Repository

PyTorch implementation of Deep Reinforcement Learning: Policy Gradient methods (TRPO, PPO, A2C) and Generative Adversarial Imitation Learning (GAIL). Fast Fisher vector product TRPO.

The tier for repos with 700 to 1,999 ★. Published odds per card pulled: 6%. Rarity: Rare.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.