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Dynamic Programming | Free Reinforcement Learning Course Module 4

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In module 4 we're going to cover some of the basic theory of dynamic programming. This is a model based class of algorithms for solving reinforcement learning problems, by iteratively solving the Bellman equation.
We'll cover policy evaluation, policy improvement, and value iteration as solutions to the Bellman equation.
We also have our first homework assignment, for which I'll provide the solution in module 5.
#reinforcementlearning #artificialintelligence #dynamicprogramming
Learn how to turn deep reinforcement learning papers into code:
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Deep Q Learning:
Actor Critic Methods:
Curiosity Driven Deep Reinforcement Learning
Natural Language Processing from First Principles:
Reinforcement Learning Fundamentals
Here are some books / courses I recommend (affiliate links):
Come hang out on Discord here:
Background music is "Airglow" by Stellardrone. You can download it here
We'll cover policy evaluation, policy improvement, and value iteration as solutions to the Bellman equation.
We also have our first homework assignment, for which I'll provide the solution in module 5.
#reinforcementlearning #artificialintelligence #dynamicprogramming
Learn how to turn deep reinforcement learning papers into code:
Get instant access to all my courses, including the new Prioritized Experience Replay course, with my subscription service. $29 a month gives you instant access to 42 hours of instructional content plus access to future updates, added monthly.
Or, pickup my Udemy courses here:
Deep Q Learning:
Actor Critic Methods:
Curiosity Driven Deep Reinforcement Learning
Natural Language Processing from First Principles:
Reinforcement Learning Fundamentals
Here are some books / courses I recommend (affiliate links):
Come hang out on Discord here:
Background music is "Airglow" by Stellardrone. You can download it here
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