Reinforcement Learning in Soccer Simulations

This chapter explores the development of a soccer-themed video game project that integrates reinforcement learning to enhance agent training and experimentation. It highlights the use of an open-source football simulation engine, discussing its customizable features, benchmarking scenarios, and the challenges of using football as a complex task for AI development. The chapter also emphasizes the innovative control mechanisms available, offering a unique research platform compared to other existing environments.