Research Article

Experience Weighted Learning in Multiagent Systems

Algorithm 2

Experience weighted learning.
(1) repeat
(2)  repeat
(3)   i = 1, t = 1
(4)    repeat
(5)     Choose an opponent randomly
(6)      
(7)     Choose an action according to strategy
(8)      
(9)   t = t + 1
(10)   until t equals the maximum period number
(11)  Update the probability of actions according to
(12)   
(13)    i = i + 1
(14)  until i = the total number of all the agents
(15)until predefined iteration number