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Wonseok Jung
August 28, 2018
Science
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51
Metalearning shared Hierarchy
Metalearning shared Hierarchy
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Wonseok Jung
August 28, 2018
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Transcript
.FUB-FBOJOHTIBSFE)JFSBSDIZ 8POTFPL+VOH 3FJOGPSDFNFOU-FBSOJOH
ਗࢳ 8POTFPL+VOH $JUZ6OJWFSTJUZPG/FX:PSL#BSVDI$PMMFHF %BUB4DJFODF.BKPS $POOFYJPO"*"*3FTFBSDIFS %FFQ-FBSOJOH$PMMFHF3FJOGPSDFNFOU-FBSOJOH3FTFBSDIFS .PEVMBCT$53--FBEFS 3FJOGPSDFNFOU-FBSOJOH 0CKFDU%FUFDUJPO
$IBUCPU (JUIVC IUUQTHJUIVCDPNXPOTFPLKVOH 'BDFCPPL IUUQTXXXGBDFCPPLDPNXTKVOH #MPH IUUQTXPOTFPLKVOHHJUIVCJP
ݾର 1. Introduction 2. Problem Statement 3. Algorithm 4. Experiments
META LEARNING SHARED HIERARCHIES
1.INTRODUCTION
1. UTILIZE PRIOR KNOWLEDGE META LEARNING SHARED HIERARCHIES 6UJMJ[FQSJPSLOPXMFEHF .BTUFSOFXUBTL
1.1 BUT REINFORCEMENT… META LEARNING SHARED HIERARCHIES How about Reinforcement
Learning?
1.2 SOLVE EACH TASK INDEPENDENTLY AND FROM SCRATCH SUPERMARIO WITH
R.L https://www.youtube.com/watch?v=IjvbhwuCaF0
1.3 ISSUES META LEARNING SHARED HIERARCHIES Sharing information Task1 Task2
Task3 θ1 θ2 θ3
1.4 MASTER POLICY META LEARNING SHARED HIERARCHIES Master Policy Sub1
Sub2 Sub3 θ1 θ2 θ3
1.5 MLSH META LEARNING SHARED HIERARCHIES Metalearning shared hierarchies
2.PROBLEM STATEMENT
2.1 NOTATION Time step Action Transition Function Reward Set of
states Set of actions Start state Discount factor t a P(s′, r ∣ s, a) r A S S0 γ Set of reward Policy Reward State R π r REINFORCEMENT LEARNING s
2.2 NOTATION META LEARNING SHARED HIERARCHIES EJTUSJCVUJPOPWFS.%1T "HFOUחQBSBNFUFSWFDUPSܳӝਵ۽VQEBUFೠ పझٜՙܻҕਬೞחۄఠ
пపझۄఠ BHFOUоഅపझ.ਸߓݴসؘೞחۄఠ PM πθ,ϕ(a∣s) ϕ θ
"DUJPO "HFOU &OWJSPONFOU 3FXBSE At Rt 4UBUF St Rt+1 St+1
REINFORCEMENT LEARNING 2.3 OBJECTIVE MDP
REINFORCEMENT LEARNING 2.4 NEW MDP &OWJSPONFOU 3FXBSE At Rt St
Rt+1 St+1 5BQUIFCBMM 1PTJUJWF3FXBSE New MDP
SUPERMARIO WITH R.L 2.5 NEW MDP-2 "DUJPO "HFOU &OWJSPONFOU 3FXBSE
At Rt 4UBUF St Rt+1 St+1 3FXBSE 1FOBMUZ Another New MDP
2.6 FIND SHARING PARAMETER META LEARNING SHARED HIERARCHIES maximizeϕ EM∼PM
, t = 0...T − 1[R]
2.7 STRUCTURE META LEARNING SHARED HIERARCHIES
3.ALGORITHM
3.1 MLSH ALGORITHM META LEARNING SHARED HIERARCHIES
3.2 MLSH ALGORITHM META LEARNING SHARED HIERARCHIES Two main components
3.3 MLSH ALGORITHM META LEARNING SHARED HIERARCHIES Joint update period
Warmup period
3.4 MLSH ALGORITHM META LEARNING SHARED HIERARCHIES Joint update period
Warmup period
3.5 MLSH ALGORITHM META LEARNING SHARED HIERARCHIES Joint update period
Warmup period θ θ, ϕ update
3.6 MLSH ALGORITHM-2 META LEARNING SHARED HIERARCHIES Joint update period
Warmup period θ θ, ϕ update
3.7 MLSH ALGORITHM-WARMUP META LEARNING SHARED HIERARCHIES update
3.8 MLSH ALGORITHM- JOINT UPDATE PERIOD META LEARNING SHARED HIERARCHIES
update
3.8 MLSH ALGORITHM META LEARNING SHARED HIERARCHIES update
4. EXPERIMENTS
4.1 2D MOVING BANDITS TASK META LEARNING SHARED HIERARCHIES
4.2 RESULT(2D BALL) META LEARNING SHARED HIERARCHIES
4.3 WALKING, CRAWLING META LEARNING SHARED HIERARCHIES
4.4 WALKING, CRAWLING META LEARNING SHARED HIERARCHIES