Covers model-free prediction methods in reinforcement learning, focusing on Monte Carlo and Temporal Differences for estimating value functions without transition dynamics knowledge.
Covers heuristic and formative evaluation methods for interactive systems, emphasizing error prevention, user control, consistency, and flexibility in design.