Reinforcement learning is a type of machine learning where an agent learns to make decisions based on rewards or penalties. It's like a toddler learning to tie their shoes, except the toddler is a robot and the shoes are a complex system of pipes and valves.
Our expert will guide you through the process of implementing a Q-learning algorithm, because who needs a fancy deep learning approach when a simple Q-table will do?
Ask us anything, and we'll try to come up with something vaguely related.