階層型強化学習によるエージェント行動の学習(一般講演2B)

抄録

Reinforcement learning is a promising approach to realize intelligent agent such as autonomous mobile robots. The paper describes hierarchical reinforcement learning that memory based learning algorithm is combined with Profit-Sharing reinforcement learning algorithm hierarchically in multi-agent environment. By using hierarchical reinforcement learning, this research aims at learning the behavior of the agent in the hunter problem, i.e. reinforcement learning problem in the multi-agent environment.