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
TensorFlow & DeepMind Lab & UNREAL
Search
Sponsored
·
SiteGround - Reliable hosting with speed, security, and support you can count on.
→
Kosuke Miyoshi
April 20, 2017
Technology
2.6k
1
Share
TensorFlow & DeepMind Lab & UNREAL
TensorFlowで実装したUNREALアルゴリズムでDeepMind Labの3D迷路を解く
Kosuke Miyoshi
April 20, 2017
More Decks by Kosuke Miyoshi
See All by Kosuke Miyoshi
Representation Learning with Contrastive Predictive Coding
miyosuda
1
230
Sutton "Reinforcement Learning" 2nd Edition Ch13: Policy Gradient Methods
miyosuda
0
210
Sutton "Reinforcement Learning" 2nd Edition Ch7: n-step Bootstrapping
miyosuda
0
110
Sutton "Reinforcement Learning" 2nd Edition Ch6: TD-learning
miyosuda
0
110
SCAN
miyosuda
0
870
Variational Auto Encoderでの Disentangled表現
miyosuda
0
640
Other Decks in Technology
See All in Technology
ニックトレイン2026[名古屋]
furutaatsuya
0
110
扱える不確実性を増やしていく - スタートアップEMが考える「任せ方」
kadoppe
0
320
弁護士ドットコム株式会社 エンジニア職向け 会社紹介資料
bengo4com
1
180
Oracle AI Database@AWS:サービス概要のご紹介
oracle4engineer
PRO
4
2.4k
コミュニティ・勉強会を作るのは目的じゃない
ohmori_yusuke
0
260
Do Vibe Coding ao LLM em Produção para Busca Agêntica - TDC 2026 - Summit IA - São Paulo
jpbonson
3
150
AgentCore×VPCでの設計パターンn選と勘所
har1101
3
310
ハーネスエンジニアリングの概要と設計思想
sergicalsix
9
5.3k
Cortex Codeのコスト見積ヒントご紹介
yokatsuki
0
110
データを"持てない"環境でのアノテーション基盤設計
sansantech
PRO
1
140
巨大プラットフォームを進化させる「第3のROI」
recruitengineers
PRO
2
1.2k
AWS Agent Registry の基礎・概要を理解する/aws-agent-registry-intro
ren8k
3
400
Featured
See All Featured
Exploring the relationship between traditional SERPs and Gen AI search
raygrieselhuber
PRO
2
3.8k
Designing Powerful Visuals for Engaging Learning
tmiket
1
350
The innovator’s Mindset - Leading Through an Era of Exponential Change - McGill University 2025
jdejongh
PRO
1
160
エンジニアに許された特別な時間の終わり
watany
106
240k
The Power of CSS Pseudo Elements
geoffreycrofte
82
6.2k
Future Trends and Review - Lecture 12 - Web Technologies (1019888BNR)
signer
PRO
0
3.5k
Fireside Chat
paigeccino
42
3.9k
It's Worth the Effort
3n
188
29k
VelocityConf: Rendering Performance Case Studies
addyosmani
333
25k
Reflections from 52 weeks, 52 projects
jeffersonlam
356
21k
Prompt Engineering for Job Search
mfonobong
0
270
Side Projects
sachag
455
43k
Transcript
5FOTPS'MPX %FFQNJOE-BC OBSSBUJWFOJHIUTגࣜձࣾ ࡾ߁༞ 5FOTPS'MPX6TFS(SPVQ
%FFQ.JOE-BC
6/3&"- ڧԽֶशͷ"$ΞϧΰϦζϜΛϕʔεʹ&YQFSJFODF 3FQMBZΛͬͨิॿλεΫΛΈ߹Θͤͯ%໎࿏Ͱ YഒͷֶशͷߴԽΛ࣮ݱ REINFORCEMENT LEARNING WITH UNSUPERVISED AUXILIARY TASKS
Max Jaderberg, Volodymyr Mnih, Wojciech Marian Czarnecki et. al (DeepMind, 2016)
ಈͷເ w ಈເͷதͰܦݧͨ͠ग़དྷࣄΛ࠶ݱ ϦϓϨΠ ͠ ͳ͕Βւഅ৽ൽ࣭ͷهԱͷݻఆΛߦ͍ͬͯΔ w ߠఆత൱ఆతͳใुʹؔΘΔग़དྷࣄͷເΛಘʹස ൟʹݟֶͯशΛߦ͍ͬͯΔ w
FYʮਫҿΈͰϥΠΦϯΛݟ͔͚ͯةݥͳʹ͋ͬ ͨʯ w 6/3&"-Ͱ͜ΕΛώϯτʹ͍ͯ͠Δ
ڧԽֶश ڥ ΤʔδΣϯτ "DUJPO ⬆ ➡ ⬇ ঢ়ଶ T ใु
S
6/3&"-ͷྲྀΕ %2/ "$ 6/3&"-
"$ "TZODISPOPVT"EWBODFE"DUPS$SJUJD w ෳͷڥΛඇಉظʹฒྻʹಈֶ͔ͯ͠शΛߴԽ ҆ఆԽͤͨ͞
К 1PMJDZ 7 ֤"DUJPOΛऔΔ֬ ݱࡏͷঢ়ଶՁ ⬆ ➡ ⬇ TPGUNBY MJOFBS
$POW $POW '$ -45. "$ͷωοτϫʔΫߏ
֤-PDBM/FUXPSLͰɺֶश݁Ռͷޯ EВ ͷΈΛٻΊɺ ΣΠτʹөͤͣ(MPCBMͷΣΠτ В ʹݸผʹөɻ (MPCBMͷΣΠτΛ·֤ͨ-PDBMͷΣΠτʹίϐʔɻ EВ EВ EВ
EВ В ʜ
1PMJDZ К 7ͷޯ R= = = w 73ʹ͚ۙͮΔ༷ʹߋ৽ w 37͕ਖ਼ͳΒɺऔͬͨBDUJPO͕ग़Δ֬Λ૿༷͢ʹߋ৽
37͕ෛͳΒɺऔͬͨBDUJPO͕ग़Δ֬ΛݮΒ༷͢ʹߋ৽ V network: Policy network: ˞্هͷදهͰ7(SBEJFOU%FTDFOU 1PMJDZ(SBEJFOU"TDFOUθv = θv - α * dθv, θ = θ + α * dθ 1PMJDZ 7
6/3&"- w "$ʹɺ&YQFSJFODF3FQMBZΛޮՌతʹͬͨิ ॿλεΫΛಋೖ͠ɺ͞ΒʹֶशΛߴԽͤ͞Δ w 1JYFM$POUSPM w 3FXBSE1SFEJDUJPO w 7BMVF'VODUJPO3FQMBZ
6/TVQFSWJTFE3&JOGPSDFNFOU"VYJMJBSZ-FBSOJOH
&YQFSJFODF3FQMBZ w <ঢ়ଶ "DUJPO ใु ࣍ঢ়ଶ>ͷϖΞΛେྔʹอଘ͠ ͯɺ͔ͦ͜ΒαϯϓϦϯάͯ͠ωοτϫʔΫΛֶश w %2/ɺ͜Ε͕ͳ͍ͱֶश͕҆ఆ͠ͳ͔ͬͨ w
"$Ͱ͍ͬͯͳ͍
None
1JYFM$POUSPM w ը໘ͷϐΫηϧͷมԽྔΛΑΓେ͖͘͢Δ༷ʹ͞ ͍ͤͨ w ը໘ͷϐΫηϧͷมԽΛٖࣅใुͱ͢Δิॿλε Ϋ
1JYFM$POUSPM w ը໘ΛYͷϐΫηϧάϦουʹ͚ɺάϦουຖʹ2ֶशΛߦ͏ w %VFMJOH/FUXPSLΛͬͨ2ֶश ˞1JYFM$POUSPMͰಘΒΕͨ2͕BDUJPOͷબʹΘΕΔ༁Ͱͳ͍ YͷάϦου BDUJPO ֤άϦουͷϐΫηϧมԽྔฏۉΛใुͱͨ࣌͠ͷׂҾՃࢉใु߹ܭ2
3FXBSE1SFEJDUJPO w &YQFSJFODF3FQMBZ͔Β࿈ଓͨ͠ϑϨʔϜऔΓग़ ͠ɺϑϨʔϜͷใु͕ɺਖ਼͔ෛ͔θϩ͔Λ༧ଌ ͢ΔิॿλεΫ w ༧ଌ͢Δใुɺ ʴ ʔPSͷൺ͕ʹͳΔ༷ʹαϯϓϦϯά ༗ӹͳใुΠϕϯτϨΞͰ͋ͬͯɺසൟʹαϯϓϦϯά͞ΕΔ
3FXBSE1SFEJDUJPO ࣍ͷใु͕ PSPSΛ༧ଌ
7BMVF'VODUJPO3FQMBZ w "$Ͱ͍ͬͯΔɺঢ়ଶՁ 7 ͷਪఆ "DUPS$SJUJDͷ$SJUJDଆ Λɺ&YQFSJFODF3FQMBZ͔ΒαϯϓϦϯάͨ͠ϑϨʔϜͰ࠶ ߦ͏ w 3FXBSE1SFEJDUJPOͱҧͬͯɺαϯϓϦϯάಛʹภΒͤͳ͍
ิॿλεΫɺ"DUJPOબʹӨڹ༩͑ͳ͍͕ɺϕʔ εͷ"$ͱ$POWɺ-45.ͷ8FJHIUΛڞ༗͍ͯ͠Δͷ ͰɺิॿλεΫΛೖΕΔ͜ͱʹΑΓɺͦΕΛղ͘ޮՌతͳ ಛදݱ͕ಘΒΕΔ͜ͱʹΑΓɺؒతʹ"DUJPOબʹӨ ڹΛ༩͑Δ
ଛࣦؔ #BTF"$ 7BMVF'VODUJPO 3FQMBZ 1JYFM$POUSPM YάϦου 3FXBSE 1SFEJDUJPO
None
"$ͱͷൺֱ %FFQ.JOE-BCڥʹͯฏۉͰYഒͷߴԽ
ΓΜ͝ΛऔΔͱ ϫʔϓʹ౸ୡ͢Δͱ ΛಘͯϥϯμϜͳ ॴʹϫʔϓ
࠶ݱݕূಈը IUUQTZPVUVCFY),R#F)* ˞4QFBLFS%FDLͰද͍ࣔͯ͠Δ߹ɺ63-ϦϯΫ͕ΫϦοΫͰ͖ͳ͍ͷͰɺQEGΛμϯϩʔυͯ͠ΫϦοΫ͍ͯͩ͘͠͞
1JYFM$POUSPM ֤άϦουͷલϑϨʔϜͱͷ ϐΫηϧมԽྔ ֤άϦουͷ2 औͬͨ"DUJPOʹର͢Δ2
1PMJDZ К ֤ΞΫγϣϯΛऔΔ֬ લਐ ޙୀ ࠨӈճస ࠨӈεϥΠυ ֶश͕ਐΉͱ΄΅ͷ֬Ͱ֤"DUJPOΛબͿΑ͏ʹͳͬͯ͘Δ
7BMVF'VODUJPO ݱࡏͷঢ়ଶՁ ϫʔϓ ʹۙͮ͘ʹͭΕ্͕͍ͯͬͯ͘
3FXBSE1SFEJDUJPO ϓϥεใु͕དྷΔͱ༧ଌ͍ͯ͠Δ
4PVSDF w IUUQTHJUIVCDPNNJZPTVEBVOSFBM