Learning device, learning method, and recording medium

A learning method, implemented by a processor, learning a policy that determines control contents of a target system, comprising:

• determining control to be applied to the target system and difficulty to be set to the target system using observation information regarding the target system and difficulty corresponding to a way of state transition of the target system and how likely it is to be rated highly related to the contents of the control, according to the policy;
• calculating learning progress of the policy using a plurality of original evaluations of states before and after transition of the target system and the determined control, according to the determined control and the determined difficulty;
• calculating revised evaluation using the original evaluation, the determined difficulty, and the calculated learning progress;
• and
• updating the policy using the observation information, the determined control, the determined difficulty, and the revised evaluation.

A non-transitory computer readable recording medium storing a learning program for learning a policy that determines control contents of a target system, wherein

• the learning program causes a computer to execute:
• a process of determining control to be applied to the target system and difficulty to be set to the target system using observation information regarding the target system and difficulty corresponding to a way of state transition of the target system and how likely it is to be rated highly related to the contents of the control, according to the policy;
• a process of calculating learning progress of the policy using a plurality of original evaluations of states before and after transition of the target system and the determined control, according to the determined control and the determined difficulty;
• a process of calculating revised evaluation using the original evaluation, the determined difficulty, and the calculated learning progress;
• and
• a process of updating the policy using the observation information, the determined control, the determined difficulty, and the revised evaluation.