抄録
Recent years, soccer simulation (Robocup) using a robot agent has been actively conducted. In this research, we are focusing on basketball shooting motion. Here, In order to acquire the best performance of the robot agent, we are using Reinforcement Learning with fuzzy reasoning (fuzzy Q-learning) for the shooting motion. Furthermore, we utilize Open Dynamics Engine as a physics simulation to verify the capability of our method.