Reinforcement learning is a machine learning product that could be broadly referred to as “learn by doing.” An “agent” learns to execute a defined task by demo and error (a feedback loop) until its performance is in a appealing variety.Like neural networks, deep learning is modeled on the way the human brain works and powers numerous machin