2018年9月13日(木)16:00-16:50@GTC Japan 2018 タイトル：PFN の深層学習を用いたロボット研究最前線

2. (Kuniyuki Takahashi)
< >
- 2007.4 - 2017.3
(B.S. )
- 2015.2 - 2016.3, 2017.2-2017.3
,
Twitter: @Georgekt0927
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3. Preferred Networks (PFN)
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Deep learning Industrial IoT
Manufacturing
Automotive
Healthcare
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4. GPU MN-1a & MN-1b
credits:
gpu by Misha Petrishchev from the Noun Project
Network Switch by Creaticca Creative Agency from the Noun Project 4

5. http://www.appraccel.com/blog/2017/1/4/freeing-up-humans-to-do-meaningful-work
…
http://toyota.jp/mirai/grade/http://toyota.jp/mirai/grade/
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6. http://www.appraccel.com/blog/2017/1/4/freeing-up-humans-to-do-meaningful-work
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17. 100
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30. Tomo et al 2016
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35. ?
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39. https://www.irasutoya.com/
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42. •
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– [Tobin et al. 2017]
– [Pinto et al. 2017]
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43. l IT&E
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l DDPG
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44. Deep Deterministic Policy Gradient
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• actor critic
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47. :
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:20cm 48

49. 9030 policies stored in the 6-
dim discrete map
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SerformDnce[m]
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52. 52

53. •
• DDPG
(T23) (T12)
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54

55. -
- IT&E
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https://www.preferred-networks.jp/ja/jobs