Reinforcement learning started from an analogy of how animals learn behaviors from reward and punishment, and has made a remarkable progress with its successful combination with deep neural networks. We will first look into the brain’s mechanisms for reinforcement learning and then some recent advances in reinforcement learning theory and algorithms. We will finally discuss how recent theoretical advances may help deeper understand of the brain's mechanisms of reinforcement learning.