# deepanshut041/Reinforcement-Learning

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

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

deepanshut041/Reinforcement-Learning has 166 stars on GitHub. Its RepoMasters card: Prototype tier. Implementations of Deep Reinforcement Learning Algorithms…

| Field | Value |
| --- | --- |
| Owner | [deepanshut041](https://repo.masters-masters.com/en/owners/deepanshut041) |
| Stars | 166 |
| Forks | 41 |
| Language | [Jupyter Notebook](https://repo.masters-masters.com/en/languages/jupyter-notebook) |
| License | MIT |
| Created | 2019 |
| Topics | deep-reinforcement-learning, policy-gradients, monte-carlo, actor-critic, sarsa, a2c, ppo, dqn, pytorch, reinforcement-learning |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [deepanshut041/Reinforcement-Learning](https://github.com/deepanshut041/Reinforcement-Learning) |

## Repository

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

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.
