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Robocalypse Now: Using Deep Learning to Combat Cheating in Counter-Strike: Global Offensive

Valve's John McDonald presents at GDC 2018 on how Valve uses deep learning (VACnet) to detect cheaters in Counter-Strike: Global Offensive. He covers training on human-reviewed replays and how model output is confirmed by manual review.

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Why HN readers recommended it

The go-to link in any anti-cheat thread for a concrete, well-delivered account of machine-learning cheat detection in production.

This is a summary from the source dataset, not an endorsement by Hacker News or the video creator.

Video & recommendation details

Creator / channel
GDC Festival of Gaming
Topic
machine learning anti-cheat
Format
talk
Level
intermediate
HN recommenders in dataset
5
HN mentions in dataset
11
Recommendation years in dataset
2021–2025

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.

  • Woah, cool to see a bit of how it all works. Seems similar to basic antivirus signature checking? As a side note, a few years back, they had a GDC talk about a (then-new) machine learning based approach to catching cheaters. Regardless of how it …

    schmorptron on Hacker News · 2025-06
    In Game Hacking – Valve Anti-Cheat (VAC)

  • From what I know, VAC (Valve Anti Cheat) just looks for processes running on the system and detects injections into CSs memory. Then, for CS:GO specifically there's Overwatch, in which players look at other reported players' gameplay to determine whether they were cheating, and VacNET …

    schmorptron on Hacker News · 2021-04
    In Valve accused of ignoring existing RCE vulnerability in Source games for 2 years

  • Valve do this, here's a good talk: Robocalypse Now: Using Deep Learning to Combat Cheating in Counter-Strike: Global Offensive [VIDEO]

    crtasm on Hacker News · 2022-02
    In Thank You, Valve

Summaries, classifications and recommendation records are from the HackerTube source dataset. Read about this library and its limitations.

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