few example as a fish so again we are we humans are such efficient and effective learners our supervised learning seems to be highly different from the supervised learning between machine learning obviously well how about trial and error learning or reinforcement learning just to bring us on the same page what is reinforcement learning basically it's a subfield of machine learning where we try to teach an agent to learn a policy a behavior to solve a highly complex mostly sequential task such as driving a car in a simulation or playing chess and