Metadata-Version: 2.4
Name: simpledqn
Version: 0.1
Summary: A simple DQN implementation for reinforcement learning beginners
Author: Shiv Shah
Author-email: shivshah1917@gmail.com
Description-Content-Type: text/markdown
Requires-Dist: torch>=1.9.0
Requires-Dist: gymnasium
Requires-Dist: matplotlib
Dynamic: author
Dynamic: author-email
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\# SimpleDQN



A simple PyTorch-based Deep Q-Network (DQN) implementation for beginners in Reinforcement Learning.



\## Installation

```bash

pip install simpledqn

```



\## Usage

```python

from simpledqn import DQNAgent

import gymnasium as gym



env = gym.make("CartPole-v1")

agent = DQNAgent(env, episodes=100)

agent.train()

agent.plot\_rewards()

```



