Upgrade to Pro
— share decks privately, control downloads, hide ads and more …
Speaker Deck
Features
Speaker Deck
PRO
Sign in
Sign up for free
Search
Search
DeepRacer for learning RL
Search
Sponsored
·
Your Podcast. Everywhere. Effortlessly.
Share. Educate. Inspire. Entertain. You do you. We'll handle the rest.
→
貞松政史
April 06, 2019
Technology
0
1.4k
DeepRacer for learning RL
2019.4.6 Developers.IO at OKAYAMA.
貞松政史
April 06, 2019
Tweet
Share
More Decks by 貞松政史
See All by 貞松政史
Amazon Forecast亡き今、我々がマネージドサービスに頼らず時系列予測を実行する方法
sadynitro
0
1.2k
今日のハイライトをシステマティックに
sadynitro
1
84
はじめてのレコメンド〜Amazon Personalizeを使った推薦システム超超超入門〜
sadynitro
2
2.6k
予知保全利用を目指した外観検査AIの開発 〜画像処理AIを用いた外観画像に対する異常検知〜
sadynitro
0
1.2k
20230904_GoogleCloudNext23_Recap_AI_ML
sadynitro
0
930
Foundation Model全盛時代を生きるAI/MLエンジニアの生存戦略
sadynitro
0
1k
Amazon SageMakerが存在しない世界線 のAWS上で実現する機械学習基盤
sadynitro
0
310
Amazon SageMakerが存在しない世界線のAWS上で実現する機械学習基盤
sadynitro
0
2.1k
みんな大好き強化学習
sadynitro
0
1.3k
Other Decks in Technology
See All in Technology
Agent ServerはWeb Serverではない。ADKで考えるAgentOps
akiratameto
0
110
AI時代の「本当の」ハイブリッドクラウド — エージェントが実現した、あの頃の夢
ebibibi
0
120
TypeScript 7.0の現在地と備え方
uhyo
6
480
Scrumは歪む — 組織設計の原理原則
dashi
0
180
CyberAgentの生成AI戦略 〜変わるものと変わらないもの〜
katayan
0
210
VPCエンドポイント意外とお金かかるなぁ。せや、共有したろ!
tommy0124
1
610
It’s “Time” to use Temporal
sajikix
1
160
実践 Datadog MCP Server
nulabinc
PRO
2
210
決済サービスを支えるElastic Cloud - Elastic Cloudの導入と推進、決済サービスのObservability
suzukij
2
640
情シスのための生成AI実践ガイド2026 / Generative AI Practical Guide for Business Technology 2026
glidenote
0
260
楽しく学ぼう!ネットワーク入門
shotashiratori
1
380
AIエージェント時代に備える AWS Organizations とアカウント設計
kossykinto
3
1k
Featured
See All Featured
Improving Core Web Vitals using Speculation Rules API
sergeychernyshev
21
1.4k
Navigating Team Friction
lara
192
16k
[Rails World 2023 - Day 1 Closing Keynote] - The Magic of Rails
eileencodes
38
2.8k
Bridging the Design Gap: How Collaborative Modelling removes blockers to flow between stakeholders and teams @FastFlow conf
baasie
0
480
How to Grow Your eCommerce with AI & Automation
katarinadahlin
PRO
1
140
How to audit for AI Accessibility on your Front & Back End
davetheseo
0
210
Practical Tips for Bootstrapping Information Extraction Pipelines
honnibal
25
1.8k
Darren the Foodie - Storyboard
khoart
PRO
3
2.9k
Into the Great Unknown - MozCon
thekraken
40
2.3k
Efficient Content Optimization with Google Search Console & Apps Script
katarinadahlin
PRO
1
410
Are puppies a ranking factor?
jonoalderson
1
3.1k
It's Worth the Effort
3n
188
29k
Transcript
4 D 29 26 1 . 0 I 1
& .-* (2 ,0'/4"# 51 83;7 +)
!&%$9( 6: Attention
3 #cmdevio2019
4 os t m ( L @S g E b
i _d L rMI D @ E ( ( ( ) ( e a n k AWS E
5 DeepRacer
6 D
7 ) (
8 …
9 DeepRacer 4 D 26 9 01 .
10 DeepRacer A A A
11
1 2 3
12 DeepRacer
13
14 DeepRacer 1/18
3D AWS DeepRacer League
15 DeepRacer https://aws.amazon.com/jp/deepracer/
16 DeepRacer ! &%$ +)*2 1 '/*2
(#-, 0. "
17 3D AWS RoboMaker Robot Operating System (ROS) Gazebo rqt
18 AWS DeepRacer League ⁻ 0 1 : 9 A
⁻ 9 2 R ⁻ ⁻ D I ⁻ 1 2 ⁻ https://aws.amazon.com/jp/deepracer/league/
19
20 (Artificial Intelligence, AI) (Machine Learning, ML)
NeuralNetwork DeepLearning
21
22 = 1 (
) ( (
23 L N - ) ( - D Q
24 DeepRacer Cliped PPO PPO (Proximal
Policy Optimization) OpenAI2017
25 ( ( )
)
26 1
27 ) () (
28 DeepRacer
29 DeepRacer + + +
30 DeepRacer
31 DeepRacer …
32 DeepRacer
33 orz
34 DeepRacer + + +
35 DeepRacer D A D
36 $ ' + (# &!
%"
37 ( ) ) https://docs.aws.amazon.com/ja_jp /deepracer/latest/developerguide/ deepracer-train-models-define- reward-function.html
38
39 ⁻ 10 ⁻
:
40 SageMaker RL + RoboMaker
41 SageMeker RLRoboMakerGA
42 SageMaker “RL” ⁻ ⁻ M ⁻ M M
⁻ M ⁻ ⁻ ⁻ J M S
43 DeepRacer ) D ( ) ) ( )
44 SageMaker
https://dev.classmethod.jp/machine -learning/sagemaker-robomaker- deepracer-sample/
45 $# "
! https://github.com/awslabs/amazon-sagemaker-examples
46 Jupyter !
47 ( ( )
48
49 2 1
50 2 2
51 (. ( )(
52 $2# " /1(+ $2#,- ! https://docs.aws.amazon.com/ja_jp/deepracer/latest/developerguide/deepracer -iteratively-enhance-reward-functions.html *
$2%) '.0& )
53 Best Practices when training with PPO
(Unity Technologies) https://github.com/Unity-Technologies/ml-agents/blob/master/docs/Training-PPO.md
54 DeepRacer "% ! "%
$# ! !
55 DeepRacer
56 DeepRacer
57 DeepRacer
58 DeepRacer
59 DeepRacer
60
61 • g • + + • M D c
• R S D a k • b • LL e
62 DeepRacer
None