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
Kosuke Miyoshi
April 20, 2017
Technology
2.6k
1
Share
Embed
Copy iframe code
Copy JS code
Copy link
Start on current slide
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
240
Sutton "Reinforcement Learning" 2nd Edition Ch13: Policy Gradient Methods
miyosuda
0
220
Sutton "Reinforcement Learning" 2nd Edition Ch7: n-step Bootstrapping
miyosuda
0
120
Sutton "Reinforcement Learning" 2nd Edition Ch6: TD-learning
miyosuda
0
120
SCAN
miyosuda
0
890
Variational Auto Encoderでの Disentangled表現
miyosuda
0
650
Other Decks in Technology
See All in Technology
凡エンジニアがこの先生きのこるためには。〜TypeScript完全に理解したい〜
alchemy1115
2
390
Genie Ontologyは銀の弾丸かを考える / Is Genie Ontology a Silver Bullet?
nttcom
0
430
シンガポールで登壇してきます
yama3133
0
330
AIと1000本ノックしてたどり着いた、最速のプロダクト開発 ~toC向けAIエージェントUXを、動く選択肢とAIキャパシティで設計する~
lycorptech_jp
PRO
1
100
「休む」重要さ
smt7174
5
1.3k
Amplify Gen2でbackend.tsにCDKを定義する/しない事によるCDKの挙動の違いとユースケース
smt7174
1
460
AmplifyHostingConstructからSSRフレームワークのためのホスティング設計を考察する/amplify-hosting-construct
fossamagna
1
280
全員がリーダーである世界へ キリマンジャロ登頂とシェアド・リーダー
jinwatanabe
0
120
そのドキュメント、自動化しませんか?
yuksew
1
380
ここは地獄!つらい朝会を体験することで、チームとしてのより良い振る舞いに気づくワークショップ / The stand-up meeting from hell in the game industry
scrummasudar
0
190
穢れた技術選定について
watany
19
5.9k
Making sense of Google’s agentic dev tools
glaforge
1
300
Featured
See All Featured
Tell your own story through comics
letsgokoyo
1
1k
Practical Orchestrator
shlominoach
191
11k
The browser strikes back
jonoalderson
0
1.4k
Design of three-dimensional binary manipulators for pick-and-place task avoiding obstacles (IECON2024)
konakalab
0
490
Designing for Performance
lara
611
70k
Designing for humans not robots
tammielis
254
26k
[RailsConf 2023 Opening Keynote] The Magic of Rails
eileencodes
31
10k
brightonSEO & MeasureFest 2025 - Christian Goodrich - Winning strategies for Black Friday CRO & PPC
cargoodrich
3
750
エンジニアに許された特別な時間の終わり
watany
108
250k
Technical Leadership for Architectural Decision Making
baasie
3
440
Building an army of robots
kneath
306
46k
How GitHub (no longer) Works
holman
316
150k
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