Skip to content
#

nes-py

Here are 4 public repositories matching this topic...

Language: All
Filter by language

This repository explores the application of three reinforcement learning algorithms—Deep Q-Networks (DQN), Double Deep Q-Networks (DDQN), and Proximal Policy Optimization (PPO)—for playing Super Mario Bros using the OpenAI Gym and nes-py emulator. It includes a comparative analysis of these models.

  • Updated May 18, 2024
  • Jupyter Notebook

Improve this page

Add a description, image, and links to the nes-py topic page so that developers can more easily learn about it.

Curate this topic

Add this topic to your repo

To associate your repository with the nes-py topic, visit your repo's landing page and select "manage topics."

Learn more