Reinforcement Learning Part 9: TD(λ) and Eligibility Traces

In the previous post, we saw how temporal difference (TD) learning updated value predictions in the middle of an episode rather than waiting to the very end, like we do with Monte Carlo (MC) methods. If you recall, the TD(0) algorithm updates value estimates after every step using a single reward in order to bootstrap […]