Asynchronous Advantage Actor-Critic (A3C) algorithm for Super Mario Bros
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Updated
Apr 28, 2024 - Python
Asynchronous Advantage Actor-Critic (A3C) algorithm for Super Mario Bros
Proximal Policy Optimization (PPO) algorithm for Super Mario Bros
An OpenAI Gym interface to Super Mario Bros. & Super Mario Bros. 2 (Lost Levels) on The NES
Play games without touching keyboard
This program evolves an AI using the NEAT algorithm to play Super Mario Bros.
Official repository for "TOAD-GAN: Coherent Style Level Generation from a Single Example" by Maren Awiszus, Frederik Schubert and Bodo Rosenhahn.
Reinforcement Learning for Super Mario Bros using A3C on GPU
Random network distillation on Montezuma's Revenge and Super Mario Bros.
Reinforcement Learning PPO Super Mario Bros Agent
A minimal VAE trained on Super Mario Bros levels.
IERG5350 Course Project, Fall 2020
GUI for TOAD-GAN, a PCG-ML algorithm for Token-based Super Mario Bros. Levels.
A Reinforcement Learning agent that learns to play Super Mario Bros.
Several approaches using deep reinforcement learning to play Super Mario Bros.
MuZero for Super Mario Bros
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+).
🍄 Reinforcement Learning agent for Super Mario Bros
A remake of the Super Mario Bros game written in Python using Pygame
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