# snakeztc/NeuralDialog-LaRL

<https://repo.masters-masters.com/en/repos/snakeztc/NeuralDialog-LaRL>

[Home](https://repo.masters-masters.com/en) › [snakeztc](https://repo.masters-masters.com/en/owners/snakeztc) › [NeuralDialog-LaRL](https://repo.masters-masters.com/en/repos/snakeztc/NeuralDialog-LaRL)

snakeztc/NeuralDialog-LaRL has 144 stars on GitHub. Its RepoMasters card: Prototype tier. PyTorch implementation of latent space reinforcement learning for…

| Field | Value |
| --- | --- |
| Owner | [snakeztc](https://repo.masters-masters.com/en/owners/snakeztc) |
| Stars | 144 |
| Forks | 25 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | Apache-2.0 |
| Created | 2018 |
| Topics | variational-autoencoder, dialogue-systems, deep-learning, natural-language-processing |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [snakeztc/NeuralDialog-LaRL](https://github.com/snakeztc/NeuralDialog-LaRL) |

## Repository

PyTorch implementation of latent space reinforcement learning for E2E dialog published at NAACL 2019. It is released by Tiancheng Zhao (Tony) from Dialog Research Center, LTI, CMU

The tier for repos with 100 to 249 ★. Published odds per card pulled: 70%. Rarity: Common.

## More repos by snakeztc

- [snakeztc/NeuralDialogPapers · ★ 643 · Alpha](https://repo.masters-masters.com/en/repos/snakeztc/NeuralDialogPapers)
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