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A simple DQN implementation for reinforcement learning beginners

Project description

# SimpleDQN

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

## Installation

pip install simpledqn

## Usage

from simpledqn import DQNAgent

import gymnasium as gym



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

agent = DQNAgent(env, episodes=100)

agent.train()

agent.plot\_rewards()

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0.1

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