Popular GitHub Repositories for Nes

Evolutionary Algorithm using Python, 莫烦Python 中文AI教学

A Python library for adversarial machine learning focusing on benchmarking adversarial robustness.

Proximal Policy Optimization (PPO) algorithm for Contra

My implementation of a reinforcement learning model using Stable-Baselines3 to play the NES Super Mario Bros.

Reinforcement Learning for Super Mario Bros using A3C on GPU

Reinforcement learning algorithms implemented to learn to play Super Mario Bros.

Super Mario Bros. (NES) gameplay dataset for machine learning.

Durham University, Dissertation: 1st - 92. Additional Materials and Codebase for the paper: Combining Recent Advances in Reinforcement Learning for Super Mario Bros. - Recurrent Replay Deeper Denser Distributed DQN+ (R2D4+).

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.

NEAT program which learns different SNES/NES games from the Bizhawk emulator

Modern, mobile-responsive web app for Bros Enterprises, a hardware store in Gurugram. Built with React and TypeScript. Explore our features on GitHub! ??

Project for Deep Learning course a.y. 23/24. MIDI music generator in the style of old NES soundtracks.

Este proyecto implementa un agente Proximal Policy Optimization (PPO) para jugar Super Mario Bros