Reinforcement Learning in Football Simulation

This chapter explores the development of a football simulation environment for reinforcement learning, emphasizing collaborative learning experiences and unique agent strategies. It discusses the educational potential of the open-source platform, highlighting its accessibility for students and the community's feedback. Challenges in modeling realistic gameplay dynamics and addressing bugs are examined, reinforcing the need for a balance between realistic constraints and adaptability in research.