Self-generation of reward by human interaction — Adaptation to multitask by reflecting hope degree for priority

In recent years, a robot is required to achieve human need in human living space. Also, complicated and flexible behavior is required for multi tasks in human living space. In such a robot, studies have proceeded by using reinforcement learning. Reinforce learning is highly applicable to the real environment. When using reinforcement learning, it is necessary to design a reward function.