MIT 6.S091: Introduction to Deep Reinforcement Learning (Deep RL)
Lex Fridman
Deep Reinforcement Learning (RL) represents a convergence of deep neural networks' ability to comprehend complex data with reinforcement learning's capacity for sequential decision-making, aiming to create intelligent agents that can understand and act upon their environment through trial and error. …