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원석이의 모두연에서 강화학습 보석되기

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Avatar for Wonseok Jung Wonseok Jung
December 15, 2018
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원석이의 모두연에서 강화학습 보석되기

Avatar for Wonseok Jung

Wonseok Jung

December 15, 2018

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Transcript

  1. ਗࢳ੉੄ݽفোীࢲъച೟णࠁࢳغӝ 8POTFPL+VOH

  2. Modulabs CTRL ە੢

  3. Modulabs CTRL ە੢ ъച೟णোҳ߂ъച೟ण؀ഥ

  4. Modulabs CTRL ە੢ Modulabs RLXDL ە੢ ъച೟णোҳ߂ъച೟ण؀ഥ

  5. Modulabs CTRL ە੢ Modulabs RLXDL ە੢ %FFQ3FJOGPSDFNFOU-FBSOJOHझఠ٣ ъച೟णোҳ߂ъച೟ण؀ഥ

  6. Modulabs CTRL ە੢ Modulabs RLXDL ە੢ Modulabs KAIR ҕزە੢ %FFQ3FJOGPSDFNFOU-FBSOJOHझఠ٣

    ъച೟णোҳ߂ъച೟ण؀ഥ

  7. Modulabs CTRL ە੢ Modulabs RLXDL ە੢ Modulabs KAIR ҕزە੢ %FFQ3FJOGPSDFNFOU-FBSOJOHझఠ٣

    ъച೟णোҳ߂ъച೟ण؀ഥ 3FJOGPSDFNFOUMFBSOJOHਵ۽3PCPUJDT೟ण

  8. Modulabs CTRL ە੢ Modulabs RLXDL ە੢ Modulabs KAIR ҕزە੢ Modulabs

    ಽ੖झ௥ 3FJOGPSDFNFOUMFBSOJOHਵ۽3PCPUJDT೟ण %FFQ3FJOGPSDFNFOU-FBSOJOHझఠ٣ ъച೟णোҳ߂ъച೟ण؀ഥ

  9. Modulabs CTRL ە੢ Modulabs RLXDL ە੢ Modulabs KAIR ҕزە੢ Modulabs

    ಽ੖झ௥ 3FJOGPSDFNFOUMFBSOJOHਵ۽3PCPUJDT೟ण _ӝಽ੖झ௥ীࢲҕࠗ઺  ӝъച೟णӝୡबചಌप੉  ੉ߣীࣻܐޅೡ٠ %FFQ3FJOGPSDFNFOU-FBSOJOHझఠ٣ ъച೟णোҳ߂ъച೟ण؀ഥ

  10. Modulabs CTRL ە੢ Modulabs RLXDL ە੢ Modulabs KAIR ҕزە੢ Modulabs

    ಽ੖झ௥ 3FJOGPSDFNFOUMFBSOJOHਵ۽3PCPUJDT೟ण _ӝಽ੖झ௥ীࢲҕࠗ઺  ӝъച೟णӝୡबചಌप੉  ੉ߣীࣻܐޅೡ٠ %FFQ3FJOGPSDFNFOU-FBSOJOHझఠ٣ ъച೟णোҳ߂ъച೟ण؀ഥ Modulabs DeepLearningCollege ъച೟णোҳਗ ֙ъച೟ण೐۽ં౟ ֤ࣗޙ੘ࢿѐ৮ܐ ѐোҳ૓೯઺ ࣗ੢שҗ ઑӝࣻܐೣ

  11. _

  12. "XBSET  Ӗ۽ߥ҃ઁޙചߊ੹؀࢚ "*ӝࣿഄनࠗޙ؀࢚࢚ࣻ Ҵഥ੄ਗ੢಴ହ੢ࣻৈ 
 .PEVMBCT'JSTUDMBTTJGJDBUJPODPNQFUJUJPOT SE
 .PEVMBCT'JSTU3-$PNQFUJUJPOT
 TU


    
 .PEVMBCT4FDPOE3-$PNQFUJUJPOT TU 0QFO"*3FJOGPSDFNFOUMFBSOJOH3FUSP 5PQ ѐ੄"XBSETࣻৈ
 


  13. 
 1SFTFOUBUJPOBOE-FDUVSFT ਘ_ 5FOTPSGMPX,33FJOGPSDFNFOU-FBSOJOH ऱ੉Ӓېݠ%*:ъച೟ण ա݅੄गಌܻ݃য়ڣٯڣٯٜ݅ӝ  IUUQTXXXZPVUVCFDPNXBUDI W#.*JSCW2X 

    ী੉੹౟ܳࠗఌ೧5IFSJTFPG3FJOGPSDFNFOU-FBSOJOH IUUQTXXXZPVUVCFDPNXBUDI WVI9V"L3G.2 TUೣԋೞח٩۞׬ஶಌ۠झ3VOOJOH"* IUUQTXXXTMJEFTIBSFOFUXPOTFPLKVOHEFFQMFBSOJOHDPOG ౵੉௑௏ܻইੋҕ૑מगಌܻ݃য়੄Ѣ੄ݽٚѪ IUUQTTQFBLFSEFDLDPNXPOTFPLKVOHBEPUJTVQFSNBSJP XJUISFJOGPSDFNFOUMFBSOJOH  ೠҴ੿ࠁ୊ܻ೟ഥъച೟ण੉ۿҗपઁ IUUQTXXXTMJEFTIBSFOFUXPOTFPLKVOHSM ా҅աۄъച೟ण੉ۿҗपઁ IUUQTXXXTMJEFTIBSFOFUXPOTFPLKVOHSM ੗അҊ١೟Ү&YQMPSBUJPO .FUB3-ӒܻҊա
 IUUQTXXXTMJEFTIBSFOFUXPOTFPLKVOHSM ؘ੉ఠঠ֥੗যࢲ৬_ؘ੉ఠࢎ੉঱झח୊਺੉૑  IUUQTTQFBLFSEFDLDPNXPOTFPLKVOHIPXUPCFDPNFB EBUBTDJFOUJTU ѐ੄ߊ಴߂ъ੄
 ো݈ѐߊ಴৘੿


  14. 3FTFBSDI <>8POTFPL +VOH 3&8"3%4)"1*/(*4"--:06/&&%
 -FBSOJOHTLJMMTXJUIBTQFDJGJFESFXBSEGVODUJPO 1PTU"*   <>8POTFPLKVOH .JOKJ,JN

    4FPLKFPOH4POH.PEVMBCT 1PTU"*  &YQMPSBUJPONFUIPEGPSSFEVDJOHVODFSUBJOUZVTJOH2FOUSPQZJOEFFQ SFJOGPSDFNFOUMFBSOJOH #FTU1PTUFS"XBSE  + ࣗ੢שҗೣԋೞחૌѢ਍োҳs ѐ੄֤ޙ੘ࢿ


  15. &5$ ѐ੄୹౸ࢎীࢲъച೟णҙ۲୹౸ઁ੄ ѐ੄#MPH੘ࢿ ѐ੄ਬై࠳ز৔࢚স۽٘
 ֙ѐਘрझ݃౟ಂషܻ೐۽ં౟૓೯

  16. ੌ ҕࠗ ӝఋ١١

  17. ъച೟णҙ੼ীࢲ࠙ࢳ
 ੉ۧѱ൨ٚੌਸ৵ যڌѱ೮ਸө  റഥبহח֙

  18. 5PEBZ  8IBUJT3FJOGPSDFNFOU-FBSOJOH   ݽفোਸ݅աӝ੹ө૑  ݽفোਸ݅աҊٍ  ъച೟णҙ੼ীࢲ࠙ࢳ

  19. 'JSTU 8IBUJT3FJOGPSDFNFOU-FBSOJOH

  20. LAW OF EFFECT - &EXBSE5IPSOEJLF   - -BXPGFGGFDUযڃ೯ز੄Ѿҗо݅઒झ۞਋ݶ׮਺ীبӒ೯زਸ߈ࠂೠ׮ ߈؀۽݅઒ೞ૑ঋਵݶӒ೯زਸೞ૑ঋח׮

    - 3FJOGPSDFNFOU ъച ੉੹ীੌযդ೯زਸ߈ࠂೞѱ݅٘ח੗ӓ - 1VOJTINFOU ୊ߥ ੉੹ীੌযդ೯زਸೖೞѱ݅٘ח੗ӓ HOW ANIMALS LEARN

  21. EXAMPLE OF THE LAW OF EFFECT HOW ANIMALS LEARN

  22. INTERACTION WITH ENVIRONMENT &OWJSPONFOU &YQFSJFODF -FBSO *OUFSBDUJPO HOW HUMANS LEARN

  23. HOW HUMANS LEARN? - 3FJOGPSDFNFOU੉੹ীੌযդ೯زਸ߈ࠂೞѱ݅٘ח੗ӓ - 1VOJTINFOU੉੹ীੌযդ೯زਸೖೞѱ݅٘ח੗ӓ HOW HUMANS LEARN

  24. HOW HUMANS LEARN -TAP BALL %BZ %BZ %BZ %BZ ୭Ҋ੼ࣻ


    ݏ਷പࣻ ୭Ҋ੼ࣻ
 ݏ਷പࣻ ୭Ҋ੼ࣻ
 ݏ਷പࣻ ୭Ҋ੼ࣻ ݏ਷പࣻ HOW HUMANS LEARN

  25. TAP BALL DAY 5 %BZ ୭Ҋ੼ࣻ ݏ਷പࣻ HOW HUMANS LEARN

  26. SIMILAR LEARNING METHODS B/W ANIMALS AND HUMANS HOW HUMANS LEARN

    1VOJTINFOU 1VOJTINFOU 1VOJTINFOU

  27. REINFORCEMENT LEARNING &OWJSPONFOU &YQFSJFODF -FBSO REINFORCEMENT LEARNING *OUFSBDUJPO "(&/5

  28. LEARNING 3FJOGPSDFNFOUMFBSOJOH਷3FXBSE ࠁ࢚ ਸ୭؀ചೞחBDUJPO ೯ز ਸࢶఖೠ׮ -FBSOFS ߓ਋ח੗ חৈ۞BDUJPOਸ೧ࠁݴ SFXBSEܳо੢֫ѱ߉חBDUJPOਸ଺ח׮

    ࢶఖػBDUJPO੉׼੢੄SFXBSEࡺ݅ইצ ׮਺੄࢚ടژח׮਺ੌযաѱؼ SFXBSEীب৔ೱਸՙசࣻب੓׮ "DUJPO ׼੢੄ ࢚ട߸ച ޷ې੄࢚ട 3FXBSE ޷ې੄3FXBSE REINFORCEMENT LEARNING

  29. MARKOV DECISION PROCESS "DUJPO "HFOU &OWJSPONFOU 3FXBSE At Rt 4UBUF

    St Rt+1 St+1 REINFORCEMENT LEARNING

  30. STATE-ACTION VALUE FUNCTION 4UBUF"DUJPOWBMVF REINFORCEMENT LEARNING

  31. OPTIMAL POLICY REINFORCEMENT LEARNING 0QUJNBM4UBUF"DUJPOWBMVFGVODUJPO

  32. Agent Exploitation Exploration ? EXPLOITATION AND EXPLORATION REINFORCEMENT LEARNING

  33. IMPORTANCE OF EXPLORATION ࣄ੉ 3VTTJBO#MVF ࢓ $VSJPTJUZ
 ಽ੉ .VODILJO ࢓

    'PPE REINFORCEMENT LEARNING

  34. IMPORTANCE OF EXPLORATION-2 REINFORCEMENT LEARNING ಽ੉ ࣄ੉ ;FSP
 FYQMPSBUJPO &YQMPSBUJPO

  35. IMPORTANCE OF EXPLORATION-3 REINFORCEMENT LEARNING ಽ੉ ࣄ੉ 'BJM

  36. MARKOV DECISION PROCESS &OWJSPONFOU 3FXBSE At Rt St Rt+1 St+1

    REINFORCEMENT LEARNING 5BQUIFCBMM 1PTJUJWF3FXBSE


  37. ݽفো
 ੹74റ

  38. ݽفোਸ݅աӝө૑
 _

  39. $BMJGPSOJB ೞܖझா઴ 
 ࢲೝইஜߏ਍ز೟Үࣻসҕࠗ੷֘ߏ਍زਫ਼

  40. .PWJOHUP/: ׏਄ਵ۽؀೟Үಞੑ
 ੗زର۽ுܻನפইীࢲ׏਄ө૑਍੹
 ӝ۾੸ੋ಩ࢸ

  41. /FX:PSL ੌزউदр੗Ҋ਍੹ೞৈ׏਄ীب଱ƕƕ
 ுܻನפই৬ցޖ׮ܲജ҃ী׼ട
 ࢎۈٜ಴੿
 Ѧ਺ࣘب
 بࢲҙীࢲࢎח೟ࢤٜ
 ҃੬ 


  42.  ցޖցޖয۰਍ઔস  ৈ۞աۄীࢲৡ೟ࢤٜҗ஖ৌೠ҃੬  ઔসٸө૑ೞܖઙੌҕࠗ ҕࠗ ҕࠗ  ݈ೞחदр੉ইөਕࢲࢎۈٜҗ੄ࣗాରױ

     ੉যಪ ݽ੗ റ٘ ݃झ௼଱ਊೞҊ׮ש  ݫन੷ө૑ରױ


  43.  ೠҴਵ۽ӈҴ  ࣻ૒ҳઑ૒੢ޙച҃೷  ҙबী؀ೠف۰਑  ׮द޷Ҵਵ۽جইоӝ۽҅ദ

  44.  ޷Ҵਵ۽جইоӝ੹
 ോधӝрীݽف੄োҳࣗীଵৈ  ݽفোীࢲҕࠗೞחৌ੿੸ੋࢎۈٜҗ੄݅թ  ೣԋࢿ੢ೞҊरযೠҴীࢲ֙؊թӝ۽Ѿ੿

  45. ݽفোਸ݅աҊդറ
 _13&4&/5

  46. ࢎۈ

  47. োҳਗ ഥࢎਗ ೟ࠗࢤ ؀೟ਗࢤ ߔࣻ ઱ࠗ Ҋ١೟ࢤ Үࣻ ѐߊ੗ ࣻ೟੗

    ׮নೠ୹न੄ݽفোোҳਗٜ

  48. োҳਗ ഥࢎਗ ೟ࠗࢤ ؀೟ਗࢤ ߔࣻ ઱ࠗ Ҋ١೟ࢤ Үࣻ ѐߊ੗ ࣻ೟੗

    ׮নೠ୹न੄ݽفোোҳਗٜ Үਭ

  49. োҳਗ ഥࢎਗ ೟ࠗࢤ ؀೟ਗࢤ ߔࣻ ઱ࠗ Ҋ١೟ࢤ Үࣻ ѐߊ੗ ࣻ೟੗

    ׮নೠ୹न੄ݽفোোҳਗٜ Үਭ ࣻ೟ ஹೊఠҗ೟ ٩۞׬ ъച೟ण ࠶۾୓ੋ

  50. োҳਗ ഥࢎਗ ೟ࠗࢤ ؀೟ਗࢤ ߔࣻ ઱ࠗ Ҋ١೟ࢤ Үࣻ ѐߊ੗ ࣻ೟੗

    ׮নೠ୹न੄ݽفোোҳਗٜ Үਭ ࣻ೟ ஹೊఠҗ೟ ٩۞׬ ъച೟ण ࠶۾୓ੋ োҳ

  51. োҳਗ ഥࢎਗ ೟ࠗࢤ ؀೟ਗࢤ ߔࣻ ઱ࠗ Ҋ١೟ࢤ Үࣻ ѐߊ੗ ࣻ೟੗

    ׮নೠ୹न੄ݽفোোҳਗٜ Үਭ ࣻ೟ ஹೊఠҗ೟ ٩۞׬ ъച೟ण ࠶۾୓ੋ োҳ ъച೟ण ৔࢚୊ܻ ੗োয୊ܻ ۽ࠁ౮झ ݽ߄ੌݠन۞׬
  52. None
  53. None

  54. ࢿ੢ೡࣻ߆ীহ঻؍ࣁо૑  ׮ܲѪ੉૑ౣܽѪ੉ইפ׮ ఋੋ੄ҙ੼ীࢲࢤп   $PNNVOJDBUJPO ੄ࢎࣗా షۿ ߊ಴

      %FFQMFBSOJOH 3FJOGPSDFNFOU-FBSOJOH ౠ੿࠙ঠ૑ध

  55. )BQQJOFTTJODSFBTFQSPEVDUJWF  ച੢ಿҕ੢झ݃౟ಂషܻ۽੄੹ജ  রӏݽ੄֙ѐਘ೐۽ં౟ীଵৈ  ݾ಴୷੸ػؘ੉ఠܳ੉ਊೞৈझ݃౟ಂషܻীࢲੌೞח
 ੘স੗ٜ੉೯ࠂೞѱੌೡࣻ੓ѱ  ݅઒х࢚थࢤ࢑۝࢚थ

  56. Relation Analysis ࢎۈ ӝ҅ ઁಿ दझమ੄ҙ҅ܳ࠙ࢳ

  57. Humans ҕ੢੄੘স੗ٜ੄੿ࠁ౵ঈ ੉ܴ ঴ҷ ա੉ ࢿ߹  ੘স੗ٜҙ଴ ಴੿ ރ૙

    ಁఢ ҃۽ ؀ചղਊ  ੘স੗ٜҗ੄ࣗాदب

  58. $PNNVOJDBUJPO ੘স੗ ӝઓഈ۱স୓ٜҗ੄ഈস੉ݒ਋ݒ਋઺ਃೞ׮ ౠ൤അ੢ীࢲੌೞदחٜ࠙җ੄ࣗా੉ઁੌয۵׮ tয়৔যߓ਋Ҋरਵद׮ҳਃ u

  59. tোରݻੌթওয u tթ਷োରੌࣻח୨ੌੑפ׮ ࢎਊೞदѷणפө u $IBUCPU  $IBUCPUਸాೞৈ੿ࠁܳ঳חѪ੉оמೞ׮  )VNBO)VNBOীࢲয়חࠛ೙ਃೠх੿ࣗݽܳ઴ੌࣻ੓׮

  60. t.442-u t1ZUIPOu t1ZNTTRMu tNFTTBOHFSu GFBUةܻࣻఋߨ tQMBUGPSNu tTNBSUQIPOFu t42-u t-BOHVFHFu %FWFMPQFBDIBUCPU

  61. 0CKFDUEFUFDUJPO ઁಿ੉ѱޤ૑ 0CKFDUEFUFDUJPOઁಿ੉ܴ ࠳ے٘ઑ݀ߨ಴द 0CKFDUEFUFDUJPOਸ਽ਊೞৈt੘স੗о਄উݡҊߓ਋ѱೞӝu

  62. 0CKFDUEFUFDUJPO tઁಿ೟णu t%FFQ-FBSOJOHu :0-07 t-BCFMJOHu t੉ઁಿޤ૑ u tTNBSUQIPOFu

  63. ೐۽ં౟৮ܐ ݽفো੉হ঻׮ݶ੉ܖ૑ޅ೮ਸѢীਃ

  64. ߅కഅ - ־о ഥࢎীࢲ ੋ੿߉חо  ੹ޙ࠙ঠীࢲର߹ചػ৉۝ਸࠁਬೞҊ੓׮  যڃդҙীبध૑ঋחڰѢ਍ৌ੿ਸо૑Ҋ੓׮ 

    ־ҳ৬بೣԋࣗాҗഈসীמೞ׮

  65. ъച೟णҙ੼ীࢲ࠙ࢳ
 ੉ۧѱ൨ٚੌਸ৵ যڌѱ೮ਸө  റഥبহח֙

  66. MARKOV DECISION PROCESS "DUJPO "HFOU &OWJSPONFOU 3FXBSE At Rt 4UBUF

    St Rt+1 St+1 REINFORCEMENT LEARNING

  67. ACTIONS "DUJPO "HFOU &OWJSPONFOU 3FXBSE At Rt 4UBUF St Rt+1

    St+1 REINFORCEMENT LEARNING ਗࢳ

  68. ACTIONS "DUJPO "HFOU &OWJSPONFOU 3FXBSE At Rt 4UBUF St Rt+1

    St+1 REINFORCEMENT LEARNING ਗࢳ

  69. "DUJPO "HFOU &OWJSPONFOU 3FXBSE At Rt 4UBUF St Rt+1 St+1

    REINFORCEMENT LEARNING ਗࢳ ACTIONS

  70. WONSEOK JUNG ߊݺо ݅ചо җ೟੗ Ѥ୷о оࣻ Ѻైӝࢶࣻ ੗زର٣੗੉ց ઁಿ٣੗੉ց

    ੘ҋо EXPLORATION ఋై੉झ౟ ࣿ૘਍৔ ஠ۨ੉ࢲ झ௢ఠ׮੉ߡ ੘о ಁ࣌٣੗੉ց ೾झ౟ۨ੉ց Үਭо ҃৔ஶࢸఢ౟ ؘ੉ఠࢎ੉঱౭झ౟ ੋҕ૑מোҳਗ Үਭо ੋҕ૑מূ૑פয ۽ࠈੋҕ૑מোҳਗ

  71. ೣԋUBTLܳಽযоחૌѢ਑੿न੸ ਭ୓੸൨ٞ 3FXBSE1FOBMUZ

  72. tਗࢳ੉੄ݽفোীࢲъച೟णࠁࢳغӝuੋ૓૞੉ਬ

  73. ਗࢳ ࠁࢳ ݽف੄োҳࣗ ઁо ਗࢳ੉ ࠁࢳ੉غ঻׮חڷ੉ইפ঻णפ׮

  74. ਗࢳ ࠁࢳ োҳਗ ഥࢎਗ ೟ࠗࢤ ؀೟ਗࢤ ߔࣻ ઱ࠗ Ҋ١೟ࢤ Үࣻ

    ѐߊ੗ ࣻ೟੗ ৌ੿੸੉Ҋ ഴܯೠ ݽفোোҳਗשҗೣԋ

  75. ֙ tೠҴীࢲ֙؊թӝ۽Ѿ੿uডࣘਸ૑ఃӝਤ೧޷Ҵਵ۽ਫ਼दجইцפ׮ ъച೟णਵ۽ݽ࣌੉੗োझ۞਍ী੉੹౟೟ण ೟णػݽ؛ਸपޛ SPCPU ਵ۽USBOTGFS ೧৻೟ഥ֤ޙઁ୹ "NB[PO%FFQSBDFS؀ഥଵৈ ਘ 

  76. ֙੷৬ೣԋࠁࢳ੉ؼݽفোо઒ਸࣗѐ೤פ׮

  77. None

  78. Modulabs CTRL

  79. 
 .PEVMBCT$53-3FTFBSDIFS $JUZ6OJWFSTJUZPG/FX:PSL#BSVDI $PMMFHF %BUB4DJFODF.BKPS  $POOFYJPO"*'PVOEFS %FFQ-FBSOJOH$PMMFHF3FJOGPSDFNFOU -FBSOJOH3FTFBSDIFS CTRL

    MEMBERS 8POTFPL+VOH ,ZVOHIXBO,JN 
 .PEVMBCT$53-3FTFBSDIFS )BOTVOH6OJWFSTJUZ
 &MFDUSPOJDJOGPSNBUJPO&OHJOFFSJOH.BKPS  *OUFSFTUFE"* 3FJOGPSFNFOUMFBSOJOH  (BNF )ZP+FPOH+FPO 
 .PEVMBCT$53-3FTFBSDIFS #JOHIBNUPO6OJWFSTJUZ.4PG.FDIBOJDBM &OHJOFFSJOH.BKPS .BUIJOTUSVDUPSBU$PMMFHF1SFQ*OTUJUVUF *OUFSFTU"QQMJDBUJPOPG6OJUZ.-"HFOUT JO3- ("/

  80. CTRL MEMBERS 4FVOH+BF-FF 
 .PEVMBCT$53-3FTFBSDIFS 1SJODFUPO6OJWFSTJUZ$MBTTPG .BUIFNBUJDT.BKPS  4DSBUDIXPSL--$$PGPVOEFS 3FTFBSDI

    &YQFSJNFOUTXJUIUIF.BSLPGG4VSGBDF@ XJUI.BUUIFXEF$PVSDZ*SFMBOEVOEFS )BOZBOH6OJWFSTJUZ
 .4#JPJOGPSNBUJDT #*(-BC 
 6OJUZ%FWFMPQFS .BSWSVT 
 *OUFSFTUFE73"3 
 3FJOGPSDFNFOUMFBSOJOH "*JOUFSBDUJPO 1I% 2VBMJUZ4ZTUFNT-BC1045&$) 
 4FBSDI3FDPNNFOEFS4ZTUFN&OHJOFFS
 *OUFSFTUFE3-"QQMJDBUJPOJO&WFSZXIFSF .PEVMBCT$53-3FTFBSDIFS .PEVMBCT$53-3FTFBSDIFS +XBXPO4FP 7JDT,XPO

  81. CTRL MEMBERS :VOLZV$IPJ 
 .PEVMBCT$53-3FTFBSDIFS 73/&3% 4VIZVL1BSL 
 .PEVMBCT$53-3FTFBSDIFS .BTUFS

    /BUVSBM-BOHVBHF1SPDFTTJOH ,PSFB 6OJWFSTJUZ  %BUB*OHFTUJPO5FBN-FBEFSBU/$40'5 *OUFSFTUFE"QQMZ3FJOGPSDFNFOU-FBSOJOH 5FDIOJRVFTUP%BUB1SPDFTTJOH"SFB ,VSU 
 .PEVMBCT$53-3FTFBSDIFS 3-/&3%
  82. None

  83. Modulabs KAIR

  84. 
 .PEVMBCT,"*33FTFBSDIFS $JUZ6OJWFSTJUZPG/FX:PSL#BSVDI $PMMFHF %BUB4DJFODF.BKPS  $POOFYJPO"*'PVOEFS %FFQ-FBSOJOH$PMMFHF3FJOGPSDFNFOU -FBSOJOH3FTFBSDIFS 3FJOGPSDFNFOU-FBSOJOH

    0CKFDU %FUFDUJPO $IBUCPU KAIR MEMBERS 8POTFPL+VOH $IFPMIVJ.JO 
 .PEVMBCT,"*33FTFBSDIFS #4JO.FDIBOJDBM&OH,PSFB6OJW .4DDBOEJEBUFJO.FDIBOJDBM&OH,PSFB 6OJW 3FTFBSDIGJFME%FFQSFJOGPSDFNFOUMFBSOJOH GPSSPCPUJDT 3PCPUDPOUSPMJOUFSGBDF *OUFSFTUT%FFQ3-BOEPQUJNBMDPOUSPM  3PCPUJDT $IJOFTF 8IJ,XPO 
 .PEVMBCT,"*33FTFBSDIFS JOUFSFTUFE3- NBOJQVMBUPS 4PHBOH6OJW$IFNJDBMBOE#JPFOHJOFFSJOH .FEJQJYFM"*SFTFBSDIFSMFBSOJOHGPS SPCPUJDT 3PCPUDPOUSPMJOUFSGBDF

  85. 
 .PEVMBCT,"*33FTFBSDIFS ,ZVOHIFF6OJWFSTJUZ.FDIBOJDBMBOE 4PGUXBSFFOHJOFFSJOH EVBMNBKPS  *OUFSFTUSPCPUJDTBOETJNVMBUJPO 3- NM BHFOU

    
 .PEVMBCT,"*33FTFBSDIFS 4FPVM/BUJPOBM6OJWFSTJUZ .FDIBOJDBM "FSPTQBDF&OHJOFFSJOH.BKPS  4QBDF/FSE *OUFSFTU3PCPUJDT /BWJHBUJPO$POUSPM  #BUUMFHSPVOE .BDBSPO 
 .PEVMBCT,"*33FTFBSDIFS %BFKFPO6OJWFSTJUZ &MFDUSPOJD*OGPSNBUJPO$PNNVOJDBUJPO &OHJOFFSJOH  *OUFSFTUFE3FJOGPDFNFOU-FBSOJOH  4JN3FBM KAIR MEMBERS 4VCJO:BOH 4FPZFPO:BOH +VOUBF,JN

  86. 
 .PEVMBCT,"*33FTFBSDIFS 4VOHLZVOLXBO6OJW.FDIBOJDBM FOHJOFFSJOH#4 4FPVM/BUJPOBM6OJW.4TUVEFOU *OUFSFTUFE)VNBOPJE 5PSRVFDPOUSPM  3- 


    .PEVMBCT,"*33FTFBSDIFS ,PSFB6OJWFSTJUZ $POUSPM3PCPUJDT 4ZTUFN *OUFSFTU2VBOUJ[FE/FVSBM/FUXPSLTBOE "4*$*NQMFNFOUBUJPO 4UBUFFTUJNBUJPO 3- 
 .PEVMBCT,"*33FTFBSDIFS #4JO$PNQVUFS4DJFODFBOE&OHJOFFSJOH 3FTFBSDI&OHJOFFSBU.FEJQJYFM *OUFSFTUFEJO$POWFY0QUJNJ[BUJPO  $PNQVUFS7JTJPO BOE3FJOGPSDFNFOU -FBSOJOH KAIR MEMBERS %POHIZFPO,JN +FPOHIPPO,JN +JOXPP1BSL

  87. 
 .PEVMBCT,"*33FTFBSDIFS #4JO.BUIFNBUJDTBOE$PNQVUFS 4DJFODFJO,PSFB6OJW .4$PVSTFJO&MFDUSJDBM&OHJO4FPVM /BUJPOBM6OJW 3FTFBSDIGJFME4UPDIBTUJD$POUSPM1SPDFTT KAIR MEMBERS 4JIZVO$IPJ

    4FVOH+BF3ZBO-FF 
 .PEVMBCT,"*33FTFBSDIFS 1SJODFUPO6OJW$MBTTPG .BUIFNBUJDT  FOEUPFOE"*3FTFBSDIFS %FFQ-FBSOJOH;FSP5P"MM4FBTPO1Z5PSDI $POUFOU$POUSJCVUPS *OUFSFTUT%BUBFGGJDJFOU3- $VSJPTJUZESJWFO -FBSOJOH .FUB-FBSOJOH

  88. ਗࢳ ࠁࢳ োҳਗ ഥࢎਗ ೟ࠗࢤ ؀೟ਗࢤ ߔࣻ ઱ࠗ Ҋ١೟ࢤ Үࣻ

    ѐߊ੗ ࣻ೟੗ ֙ೣԋࠁࢳ੉ؼোҳਗݽ૘೤פ׮

  89. ֙ݽفࣻҊ݆ਵ࣑णפ׮ ֙ীب਋ܻೣԋ೧ࠊਃ