Holczer Balazs
8.0/10
(Our Score)
Product is rated as #321 in category Java
This course is about Reinforcement Learning. The first step is to talk about the mathematical background: we can use a Markov Decision Process as a model for reinforcement learning. We can solve the problem 3 ways: value–iteration, policy–iteration and Q–learning. Q–learning is a model free approach so it is state–of–the–art approach. It learns the optimal policy by interacting with the environment. So these are the topics:
Instructor Details
Votes: 3
Courses : 24
Specification: Artificial Intelligence IV – Reinforcement Learning in Java
|
20 reviews for Artificial Intelligence IV – Reinforcement Learning in Java
Show all
Most Helpful
Highest Rating
Lowest Rating
Add a review
| Price | $14.99 |
|---|---|
| Provider | |
| Duration | 3 hours |
| Year | 2020 |
| Level | All |
| Language | English |
| Certificate | Yes |
| Quizzes | No |
Artificial Intelligence IV – Reinforcement Learning in Java
$14.99
Sudhindra Desai –
Need to include more dataset and examples
Howard –
Good information, but the course could be half the size, do to the amount of repeats.
Michael Kehayes –
No code implementation of Deep Q Learning…just a hard coded example that doesn’t include any deep learning libraries.
James Soh –
Need more examples
Kree Pup –
Good
Jonathan P Castro –
Very good!
Manish Garg –
Good Course. The explanations by the author of a complex topic is simple and easy to understand. It is good introductory course on Q learning.
Mutaz Al Tarawneh –
Very nice and helpful course … hopefully the instructor can provide a dedicated course on deep reinforcement learning !
Muhammet Altun –
rnekler ile anlat lmas gayet iyi olmu . Ba lang seviyesi i in gayet iyi bir e itim olmu .
Muhammet Altun –
rnekler ile anlat lmas gayet iyi olmu . Ba lang seviyesi i in gayet iyi bir e itim olmu .
Alper Kara elik –
Great course for beginners. Includes hands on training.
Alper Kara elik –
Great course for beginners. Includes hands on training.
Anthony –
Was a fantastic course that is well thought out and explains concepts in depth. One thing that would have been nice would have been a physical example of deep Q learning.
Anthony Kolenic –
Was a fantastic course that is well thought out and explains concepts in depth. One thing that would have been nice would have been a physical example of deep Q learning.
Daniel Cristian Vasilescu –
What was covered in the end in the course was very well explained however I am a bit dissapointed that not all that was said would be covered was covered. Tic tac toe code and walkthrough would have been nice and a practical implementation for Deep QLearning would have been nice as well. And from the description of the course it was kind of implied they would be covered
N.P.N.Shanthoshnarayanan –
Good Explanation
N.P.N.Shanthoshnarayanan –
Good Explanation
Eitan Mizrahi –
Very good explanation, but it seems the lecturer is talking to himself. I want more experiments, more home work, and more some quiz questions.
Eitan Mizrahi –
Very good explanation, but it seems the lecturer is talking to himself. I want more experiments, more home work, and more some quiz questions.
Thomas ter Wijlen –
There is a slight language gap