Mobile Deep Learning with TensorFlow Lite, ML Kit and Flutter

Reinforcement learning

Reinforcement learning is a branch of machine learning that deals with creating AI "agents" that perform a set of possible actions in a given environment in order to maximize a reward. While the other two branches of machine learning—supervised and unsupervised machine learning—usually perform learning on a dataset in the format of a table, reinforcement learning agents mostly learn using a decision tree to be made in any given situation such that the decision tree eventually leads to the leaf that has the maximum reward. 

For example, consider a humanoid robot that wishes to learn to walk. It could first start by shoving both of its legs in front of itself, in which case it would fall, and the reward, which, in this ...