How to Learn Q
	• Q(s,a) = r(s,a) + g maxa'[Q(d(s,a),a')] • We don't know r and d, but this forms the basis for an iterative update based on an observed action transition and reward • Having taken action a in state s, and finding oneself in state s' with immediate reward r: Q(s,a) ß r + g maxa'[Q(s',a')]