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.
Explainable Artificial Intelligence focuses on developing AI systems that can provide understandable explanations for their decisions and behaviours. Transparent and interpretable AI models are…