IKSHA uses only what it needs to keep you signed in and the site working. With your OK, we'd also count visits with Cloudflare Web Analytics (no cookies) and remember concepts you've viewed. How we use storage

Courses Concepts Explore Playground Practice

← Back to course Reinforcement Learning

You are in chapter 42

0% of course complete

42Stochastic and Semi-gradient Methods for Value Prediction

Module 2 · Semi-gradient TD(0) for Value Prediction

ARTICLESemi-gradient TD(0) for Value Prediction: Why the Bootstrapped Update Is Not Plain Gradient Descent

Reinforcement LearningStochastic and Semi-gradient Methods for Value Prediction

ARTICLE

Semi-gradient TD(0) for Value Prediction: Why the Bootstrapped Update Is Not Plain Gradient Descent

Loading lesson…

← PREVIOUSGradient Monte Carlo PracticeIn progressNEXT →State Aggregation Example

LESSON PROGRESS

In progress

0%

NEXT LESSON

State Aggregation Example›