Slide 1

Slide 1 text

4 D 29 26 1 . 0 I 1

Slide 2

Slide 2 text

& .-*  (2  ,0'/4"# 51  83;7 +) !&%$9( 6:  Attention

Slide 3

Slide 3 text

3  #cmdevio2019

Slide 4

Slide 4 text

4 os t m ( L @S g E b i _d L rMI D @ E ( ( ( ) ( e a n k AWS E

Slide 5

Slide 5 text

5   DeepRacer 

Slide 6

Slide 6 text

6   D

Slide 7

Slide 7 text

7     ) (

Slide 8

Slide 8 text

8 …

Slide 9

Slide 9 text

9 DeepRacer 4 D 26 9 01 .

Slide 10

Slide 10 text

10 DeepRacer A A A

Slide 11

Slide 11 text

11          1 2 3

Slide 12

Slide 12 text

12 DeepRacer

Slide 13

Slide 13 text

13    

Slide 14

Slide 14 text

14 DeepRacer 1/18         3D  AWS DeepRacer League

Slide 15

Slide 15 text

15 DeepRacer https://aws.amazon.com/jp/deepracer/

Slide 16

Slide 16 text

16 DeepRacer ! &%$ +)*2 1 '/*2     (#-, 0.  "

Slide 17

Slide 17 text

17 3D AWS RoboMaker Robot Operating System (ROS) Gazebo rqt

Slide 18

Slide 18 text

18 AWS DeepRacer League ⁻ 0 1 : 9 A ⁻ 9 2 R ⁻   ⁻ D I ⁻ 1 2 ⁻   https://aws.amazon.com/jp/deepracer/league/

Slide 19

Slide 19 text

19 

Slide 20

Slide 20 text

20   (Artificial Intelligence, AI)  (Machine Learning, ML)     NeuralNetwork DeepLearning   

Slide 21

Slide 21 text

21  

Slide 22

Slide 22 text

22 = 1    (      ) ( (

Slide 23

Slide 23 text

23 L N - ) ( - D Q

Slide 24

Slide 24 text

24 DeepRacer     Cliped PPO PPO (Proximal Policy Optimization) OpenAI2017 

Slide 25

Slide 25 text

25       ( ( ) )

Slide 26

Slide 26 text

26  1

Slide 27

Slide 27 text

27  ) () (

Slide 28

Slide 28 text

28 DeepRacer   

Slide 29

Slide 29 text

29 DeepRacer + + +

Slide 30

Slide 30 text

30 DeepRacer

Slide 31

Slide 31 text

31 DeepRacer  …

Slide 32

Slide 32 text

32 DeepRacer  

Slide 33

Slide 33 text

33 orz

Slide 34

Slide 34 text

34 DeepRacer  + + +

Slide 35

Slide 35 text

35 DeepRacer  D A D

Slide 36

Slide 36 text

36 $   ' + (#   &! %"

Slide 37

Slide 37 text

37   ( ) ) https://docs.aws.amazon.com/ja_jp /deepracer/latest/developerguide/ deepracer-train-models-define- reward-function.html

Slide 38

Slide 38 text

38     

Slide 39

Slide 39 text

39       ⁻ 10 ⁻ :

Slide 40

Slide 40 text

40 SageMaker RL + RoboMaker

Slide 41

Slide 41 text

41 SageMeker RLRoboMakerGA

Slide 42

Slide 42 text

42 SageMaker “RL”  ⁻ ⁻ M ⁻ M M ⁻ M   ⁻ ⁻ ⁻ J M S

Slide 43

Slide 43 text

43 DeepRacer ) D ( ) ) ( )

Slide 44

Slide 44 text

44 SageMaker           https://dev.classmethod.jp/machine -learning/sagemaker-robomaker- deepracer-sample/

Slide 45

Slide 45 text

45      $#   "     ! https://github.com/awslabs/amazon-sagemaker-examples

Slide 46

Slide 46 text

46 Jupyter    !   

Slide 47

Slide 47 text

47  ( ( ) 

Slide 48

Slide 48 text

48   

Slide 49

Slide 49 text

49  2   1  

Slide 50

Slide 50 text

50  2   2        

Slide 51

Slide 51 text

51   (. ( )(   

Slide 52

Slide 52 text

52 $2# " /1(+ $2#,- !  https://docs.aws.amazon.com/ja_jp/deepracer/latest/developerguide/deepracer -iteratively-enhance-reward-functions.html *  $2%) '.0& )

Slide 53

Slide 53 text

53    Best Practices when training with PPO (Unity Technologies) https://github.com/Unity-Technologies/ml-agents/blob/master/docs/Training-PPO.md        

Slide 54

Slide 54 text

54 DeepRacer "%    !   "%         $#     !   !

Slide 55

Slide 55 text

55 DeepRacer

Slide 56

Slide 56 text

56 DeepRacer    

Slide 57

Slide 57 text

57 DeepRacer  

Slide 58

Slide 58 text

58 DeepRacer     

Slide 59

Slide 59 text

59 DeepRacer      

Slide 60

Slide 60 text

60 

Slide 61

Slide 61 text

61 • g • + + • M D c • R S D a k • b • LL e

Slide 62

Slide 62 text

62 DeepRacer 

Slide 63

Slide 63 text

No content