PickVidsMulti-Agent Hide and Seek
推荐理由
This short video makes the concern much more real
说明
这是2019年由OpenAI发布的一部演示，主题归在Machine learning & deep learning。它讲的是multi-agent reinforcement learning这一支里的具体问题，而不是把整个领域扫一遍。适合按兴趣直接看、不打算先补课的人。内容上可以概括成：OpenAI's short demo of agents playing hide-and-seek in a simulated environment. Through self-play, the agents develop six progressively more complex strategies and counter-strategies, including tool use.这些读者给出的理由，核心是：HN uses it as a vivid example of emergent behavior from multi-agent reinforcement learning, and as a way to make AI misalignment concerns feel concrete.讲法不绑某一条新闻，过几年仍然可以当材料看。从2019年到2024年，有1位不同的读者在1个不同月份把它推荐出来，其中明确叫别人去看的有0次。适合先看结果再决定要不要深挖的人。先看它做成了什么。如果已经会了基本定义，就把注意力放在它怎么把multi-agent reinforcement learning变成能跟着复述的例子。
视频信息
- 频道
- OpenAI
- 时长
- 2 分 58 秒
- 发布年份
- 2019
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