Agent - - PDF document

Agent Environment

State Reward Action

r + γ γ r + r + ... , where γ <1 2 2 1 Goal: Learn to choose actions that maximize s 1 s 2 s a 1 a 2 a r 1 r 2 r ... <

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G

100 100

G

100 90 100 81 90 81 81 90 81 72 72 81

G

100 100 90 90 81

G

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100 81

R

63 72

initial state: s1

100 90 81

R

63

next state: s2

aright

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