Lecture 4: Model-Free Prediction

Lecture 4 : Model-Free Prediction -Introduction -Monte-Carlo Learning -Blackjack Example -Incremental Monte-Carlo -Temporal-Difference Learning -Driving Home Example -Random Walk Example -Batch MC and TD -Unified View -TD(λ) -n-Step TD -Forward View of TD(λ) -Backward View of TD(λ) -Relationship Between Forward and Backward TD -Forward and Backward Equivalence Model-Free Reinforcement Learning M..

원문링크 : Lecture 4: Model-Free Prediction