Understanding Value Function Approximation Gradient Descent Linear Vfa Least Squares Prediction Control
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- Reinforcement Learning Course by David Silver# Lecture 6:
- Live recording of online meeting reviewing material from "Reinforcement Learning An Introduction second edition" by Richard S.
- Okay in the final part of today's lecture we'll talk about some optimization issues and policy
- Welcome in this brief lecture we're going to look at using
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Lecture 6: Gradient Descent for Least Squares Learn more about WatsonX → https://ibm.biz/BdPu9e What is ICON Seminar Series on Learning Meets
In the first part of this lecture we implement the Q-Learning algorithm in Python and we test it on a simple 1-joint pendulum, ...
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