Further Reading: Temporal Difference Learning
	• A generalization of Q-learning with nondeterminism • Basic idea:  If you use a sequence of actions and rewards, you can write a more general learning rule blending estimates from lookahead of different depths. • Tesauro (1995) trained TD-GAMMON on 1.5 million self-generated games to become nearly equal to the top-ranked players of international backgammon tournaments.