GDC 2018: John McDonald (Valve) - Using Deep Learning to Combat Cheating in CSGO
推荐理由
The actual presentation is worth listening to if you have the time.
说明
这是2018年由max4warn发布的一部演讲,主题归在Machine learning & deep learning。它讲的是machine learning anti-cheat这一支里的具体问题,而不是把整个领域扫一遍。适合已经能看懂基本术语、想继续往下走的人。内容上可以概括成:A GDC 2018 talk by Valve's John McDonald on VACNet, a deep learning system that analyzes CS:GO gameplay to detect cheaters. It covers how the model is trained on human-reviewed Overwatch cases and how its output feeds human moderation.这些读者给出的理由,核心是:HN points to it as the definitive example of server-side, behavioral, non-invasive anti-cheat using machine learning, often as a counterpoint to kernel-level anti-cheat.讲法不绑某一条新闻,过几年仍然可以当材料看。从2018年到2026年,有5位不同的读者在4个不同月份把它推荐出来,其中明确叫别人去看的有1次。适合一次性看完。讲者把一个判断讲透,演示是在给这个判断配例子。如果已经会了基本定义,就把注意力放在它怎么把machine learning anti-cheat变成能跟着复述的例子。
视频信息
- 频道
- max4warn
- 时长
- 1 小时 5 分
- 发布年份
- 2018
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