What is DRL (Deep reinforcement learning?

Deep Reinforcement Learning (DRL) is the mixture of Reinforcement Learning and Deep Learning. It can address a wide scope of complex decision-making tasks that were already unattainable for a machine to tackle genuine issues with human-like knowledge. Deep RL includes deep learning into the solution, permitting agents to settle on decisions from unstructured input information without manual designing of the state space.