What is DRL ?

DRL stands for Deep Reinforcement Learning. It is a type of machine learning that combines deep neural networks with reinforcement learning algorithms to enable machines to learn how to perform tasks through trial and error. In DRL, an agent is trained to take actions that maximize a reward signal in a given environment. The agent learns by observing the environment, selecting actions based on a policy, and adjusting the policy based on the feedback received from the environment.