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

What people said

schmorptron · 2025-06 · Strong recommendation

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 worked out, I found it fascinating. The presenter delivered the problem and solution approach so well I'd still like to work on something like this some time. I think they're still updating this for CS2, so it would be really cool to see how far it's gotten now. [VIDEO]

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magic123_ · 2024-08 · Recommendation

Unfortunately the Overwatch system has been disabled for years, and we currently have no reason to think it will be reopened for CS2. I take this opportunity to share this great talk about Valve's usage of deep learning to fight cheating in CS:GO: [VIDEO]

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arwineap · 2022-11 · Recommendation

Valve has been at this for a long time... They started with a system that lets players review games and try to understand if a player is a cheat or not. Games are anonymized, and you get to rewatch the replay to try to make a determination They can then use that data to train their NN to help detect which players / games should be fed into this manual review process I assume now the product is probably good enough that it's ranking reviewers too to determine how good reviewers are at detecting if there's cheats or not. It's pure genius Here's a GDC talk you may find interesting: > In this 2018 GDC session, Valve's John McDonald discusses how Valve has utilized Deep Learning to combat cheating in Counter-Strike: Global Offensive. [VIDEO]

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