Reinforcement learning (RL) is a branch of machine learning in which an agent learns to make sequences of decisions by interacting with an environment and maximising cumulative rewards. Unlike ...

Reinforcement learning is well-suited for autonomous decision-making where supervised learning or unsupervised learning techniques alone can’t do the job Reinforcement learning has traditionally ...