EXPERIENCE REINFORCEMENT TYPE REINFORCEMENT LEARNING SYSTEM, EXPERIENCE REINFORCEMENT TYPE REINFORCEMENT LEARNING METHOD AND EXPERIENCE REINFORCEMENT TYPE REINFORCEMENT LEARNING PROGRAM

摘要

PROBLEM TO BE SOLVED: To provide an experience reinforcement type reinforcement learning system or the like capable of suppressing a large influence on a learning result at which learning which avoids punishment can obtain reward.SOLUTION: The experience reinforcement type reinforcement learning system includes: a state recognition means 1 for recognizing the state of an agent A; a rule selection means 2 for selecting a selectable state/action rule on the basis of an evaluation value; a reward evaluation value reinforcement means 3 for defining the series of all the state/action rules selected when the reward is obtained as an episode and reinforcing reward evaluation values of all the state/action rules of the episode altogether by weight for the reward; a punishment evaluation value reinforcement means 4 for defining the series of all the state/action rules selected when punishment is received as an episode and reinforcing the punishment evaluation values of all the state/action rules of the episode altogether by weight for the punishment; and an evaluation value operation means 5 for obtaining an evaluation value Q by a function expression: Q=Q(q[+], q[-]) when the reward evaluation value is defined as q[+] and the punishment evaluation value is defined as q[-].