RSPSO Algorithm for Finding the Best Point for Robot to Score a Goal
DOI:
https://doi.org/10.32792/jeps.v10i1.29الكلمات المفتاحية:
Reinforcement learning، Particle swarm optimization (PSO)، robot soccer، Q-learningالملخص
The issue of robotic football game is one of the most complex multi-agent systems. In order to make thegame more enjoyable and exciting by scoring goals, therefore it's important for a robot football agent to
have a technique on how to score a goal. This paper proposes RSPSO algorithm, where the particle swarm
optimization algorithm (PSO) based on Q-learning is used to find the best point from the goal gate to
shoot the ball toward it. As we show in simulation, our method enables the robot to learn soccer skills to
score a goal.
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