THE VIDEO SHELF · neuroevolution
MarI/O - Machine Learning for Video Games
SethBling shows MarI/O, a program using neural networks and the NEAT genetic algorithm to learn to play Super Mario World. The description links the source code, the paper and background reading.
Why HN readers recommended it
The go-to accessible introduction to neuroevolution and NEAT, praised for crediting prior research.
This is a summary from the source dataset, not an endorsement by Hacker News or the video creator.
Video & recommendation details
- Creator / channel
- SethBling
- Topic
- neuroevolution
- Format
- demo
- Level
- intro
- HN recommenders in dataset
- 10
- HN mentions in dataset
- 20
- Recommendation years in dataset
- 2015–2026
These counts and years describe the included Hacker News records; they are not YouTube views or the video’s publication date.
From the original HN conversations
Excerpts from the recorded comments. Follow each source for the full comment and surrounding discussion.
OP, Togelius, is quite wrong in 1 point at least. tl;dr Seth Bling directly references NEAT and his links[Show More [1]] link to 2 Togelius papers[13][14] among many others ! To wit, in OP, Togelius mentions Seth Bling's MarI/O[1] as lacking scholarship because he didn't …
deepnet on Hacker News · 2018-04
In The differences between tinkering and research (2016)I'm a novice at machine learning, but Open AI made a python library for reinforcement learning in video games, and a fork of it is still actively maintained [1]. It's been a few years, but I remember being able to get it up and running …
dberst on Hacker News · 2024-09
In Synchronizing Pong to music with constrained optimizationHere is my favorite introduction to NEAT: SethBling's MarI/O - Machine Learning for Video Games [VIDEO]
andai on Hacker News · 2025-06
In Self-Adapting Language Models
Summaries, classifications and recommendation records are from the HackerTube source dataset. Read about this library and its limitations.