Deep Q-Networks
Q-Learning and SARSA hit a hard ceiling: a table indexed by state doesn't scale past small, discrete state spaces. Swap the table for a neural network and the state-space problem disappears — but a new one appears immediately, because naive function approximation in RL is unstable in ways tabular methods never are.