数据驱动AI与强化学习原理应用及未来方向(英文版)(90页).pdf

编号:606217 PDF 90页 32.46MB 下载积分:VIP专享
下载报告请您先登录!

1、How does data-driven Al work?一O.归一,守.“,心.-.,一 一,.-,.,-.,.口一一 a 一)Explaining a joke Prompt Explain this joke:Joke:Did you see that Google just hired an eloquent whale for their TPU team?It showed them how to communicate between two different pods I Model Response Prediction:TPUs are a type of compute

2、r chip that Google uses for deep learning.A pod is a group of TPUs.A pod is also a group of whales.The joke is that the whale is able to communicate between two groups of whales,but the speaker is pretending that the whale 1s able to communicate between two groups of TPUs.Pe(x)Pe(yjx)0.06 o.os 0.04

3、0.03 0.02 0.01 0.00 10 20 30 40 50,.4 RIOD ATS Bee U0 LEB?2 2%&8 RERE TRIG tem AERER SIE:RIE:MBBARMIMI AAT PUBS ARAN EREIS?Crile T SOA EPA SAT BSP od Z al#t1T74i!AAO FM):TRUREARAFRESINMiTAAL.S“Pod”=#8TPU.*“Pod”th#0th&,iG SRS ASE ARS ZITSEM,(Wie RE 88 TE PRLATPU Z lalidtT 3 sito hk?What does reinforc

4、ement learning do?Mnhih et al.13 Schulman et al.14&15 am 1)EIT AB?Mnih#Ao 13+SchulmanSA.144015=aa Emergent behaviors with reinforcement learning Impressive because no person had Impressive because it looks like thought of it!something a person might draw!Pi.:7.“|):Google DeepMind “Move 37”in Lee Sed

5、ol AlphaGo match:reinforcement learning“discovers”a move that surprises everyone IT oR OF ERAT A SALIBA,AARAAR BW SAMBIRZ,AABHR REA ZEA RES BIH REY AR!eRe Oca i aan es os)Bt oe N ON Be K ey!”erect?oe x 4 4 ANY?a ee 0:St GAlphaGolb se Pay B37:sR)FS)IN FT TILER A ABR UB EE What does reinforcement lear

6、ning not do?Mnhih et al.13 Schulman et al.14&15 this is done many times enormous gulf ae MIT A?Mnih#A.13 SchulmanSA.144015 BARS So where does that leave us?Data-Driven Al Reinforcement Learning Explaining a joke 2 ee)-.Le are eas;f R a LEE SEDOL Hieawt y lox Explain this joke:y)F 01:33:54 Joke:Did y

友情提示

1、下载报告失败解决办法
2、PDF文件下载后,可能会被浏览器默认打开,此种情况可以点击浏览器菜单,保存网页到桌面,就可以正常下载了。
3、本站不支持迅雷下载,请使用电脑自带的IE浏览器,或者360浏览器、谷歌浏览器下载即可。
4、本站报告下载后的文档和图纸-无水印,预览文档经过压缩,下载后原文更清晰。

本文(数据驱动AI与强化学习原理应用及未来方向(英文版)(90页).pdf)为本站 (AG) 主动上传,三个皮匠报告文库仅提供信息存储空间,仅对用户上传内容的表现方式做保护处理,对上载内容本身不做任何修改或编辑。 若此文所含内容侵犯了您的版权或隐私,请立即通知三个皮匠报告文库(点击联系客服),我们立即给予删除!

温馨提示:如果因为网速或其他原因下载失败请重新下载,重复下载不扣分。
客服
商务合作
小程序
服务号
折叠