2A1-N03 Basketball Agent Shoot Simulation By Using Reinforcement Learning
Mutsumi Iwasa, Naoyuki Kubota · The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec) · 2015
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.