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Monte Carlo Methods
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Duration
1 hours session
Course outline
Design
This course will cover the following topics:-
(1) Monte Carlo policy evaluation
(2) Estimation of action values
(3) Control
(4) Evaluating one policy while following another
(5) Incremental implementation
Prerequisite knowledge
You should have a reasonable background of Machine Learning topics
Learning outcomes
After completing this course you will understand how Monte Carlo methods can be applied to learning methods for estimating value functions and discovering optimal policies
Software / Hardware requirements
N/A
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Evaluation Feedback
2 hours session
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Q-Learning
2 hours session
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Policy Gradients
2 hours session
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