Reinforcement Learning is a branch of AI that focuses on training agents to make decisions through trial and error in a specific environment. By employing positive reinforcement and punishments, businesses can teach machines to optimise actions and learn from rewards, enabling autonomous decision-making in dynamic situations.
Backpropagation is a technique used in training Artificial Neural Networks. It involves propagating error information backward through the network, allowing adjustments to be made…