Reinforcement Learning

Reinforcement learning (RL) is a framework where agents learn to perform actions in an environment so as to maximize a reward. It’s actually training an AI to learn through every mistake and find the correct path without any label. The two main components are the environment and the agent. Deep Reinforcement learning (DRL) combined with deep learning technology is even more powerful. AlphaGo, is a typical application of deep reinforcement learning. ...