Understanding reinforcement learning for model training from scratch

Summary

This article explains the fundamentals of reinforcement learning, detailing how agents learn optimal behaviors through trial and error and feedback from their environment. It highlights the significance of reinforcement learning in training AI models from scratch, emphasizing its potential to solve complex decision-making problems and advance autonomous systems in the AI field.