Construction of Football Agents by Inverse Reinforcement Learning Using Relative Positional Information Among Players

: Recent advancements in reinforcement learning have made it possible to develop football agents that autonomously emulate the behavior of human players. However, it is still challenging for existing methods to successfully replicate realistic player behaviors. In fact, agents exhibit behaviors l…