# deepanshut041/Reinforcement-Learning

<https://repo.masters-masters.com/repos/deepanshut041/Reinforcement-Learning>

[Accueil](https://repo.masters-masters.com/) › [deepanshut041](https://repo.masters-masters.com/owners/deepanshut041) › [Reinforcement-Learning](https://repo.masters-masters.com/repos/deepanshut041/Reinforcement-Learning)

deepanshut041/Reinforcement-Learning, dépôt open source à 166 étoiles sur GitHub. Carte Prototype de RepoMasters. Implementations of Deep Reinforcement…

| Champ | Valeur |
| --- | --- |
| Propriétaire | [deepanshut041](https://repo.masters-masters.com/owners/deepanshut041) |
| Étoiles | 166 |
| Forks | 41 |
| Langage | [Jupyter Notebook](https://repo.masters-masters.com/languages/jupyter-notebook) |
| Licence | MIT |
| Création | 2019 |
| Sujets | deep-reinforcement-learning, policy-gradients, monte-carlo, actor-critic, sarsa, a2c, ppo, dqn, pytorch, reinforcement-learning |
| Rang | [Prototype (100 à 249 ★)](https://repo.masters-masters.com/ranks/rush) |
| Voir sur GitHub | [deepanshut041/Reinforcement-Learning](https://github.com/deepanshut041/Reinforcement-Learning) |

## Fiche du dépôt

Implementations of Deep Reinforcement Learning Algorithms and Bench-marking with PyTorch

Rang des dépôts qui ont 100 à 249 ★ sur GitHub. Probabilité publiée par carte tirée : 70 %. Rareté : Commune.

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Données : GitHub · Illustration dessinée par RepoMasters à partir de l’identifiant du dépôt et de la couleur de son langage.