Dueling Deep Q Learning with Tensorflow 2 & Keras | Full Tutorial for Beginners
14.1 هزار بار بازدید -
4 سال پیش
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Dueling Deep Q Learning is
Dueling Deep Q Learning is easier than ever with Tensorflow 2 and Keras. In this tutorial for deep reinforcement learning beginners we'll code up the dueling deep q network and agent from scratch, with no prior experience needed. We'll train an agent to land a spacecraft on the surface of the moon, using the lunar lander environment from the OpenAI Gym.
The dueling network can be applied to both regular and double q learning, as it's just a new network architecture. It doesn't require any change to the q learning or double q learning algorithms. We simply have to change up our feed forward to accommodate the new value and advantage streams, and combine them in a way that makes sense.
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.
Discounts available for Udemy students (enrolled longer than 30 days). Just send an email to [email protected]
https://www.neuralnet.ai/courses
Or, pickup my Udemy courses here:
Deep Q Learning:
https://www.udemy.com/course/deep-q-l...
Actor Critic Methods:
https://www.udemy.com/course/actor-cr...
Curiosity Driven Deep Reinforcement Learning
https://www.udemy.com/course/curiosit...
Natural Language Processing from First Principles:
https://www.udemy.com/course/natural-...
Reinforcement Learning Fundamentals
https://www.manning.com/livevideo/rei...
Here are some books / courses I recommend (affiliate links):
Grokking Deep Learning in Motion: https://bit.ly/3fXHy8W
Grokking Deep Learning: https://bit.ly/3yJ14gT
Grokking Deep Reinforcement Learning: https://bit.ly/2VNAXql
Come hang out on Discord here:
Discord: discord
Need personalized tutoring? Help on a programming project? Shoot me an email! [email protected]
Website: https://www.neuralnet.ai
Github: https://github.com/philtabor
Twitter: Twitter: MLWithPhil
The dueling network can be applied to both regular and double q learning, as it's just a new network architecture. It doesn't require any change to the q learning or double q learning algorithms. We simply have to change up our feed forward to accommodate the new value and advantage streams, and combine them in a way that makes sense.
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.
Discounts available for Udemy students (enrolled longer than 30 days). Just send an email to [email protected]
https://www.neuralnet.ai/courses
Or, pickup my Udemy courses here:
Deep Q Learning:
https://www.udemy.com/course/deep-q-l...
Actor Critic Methods:
https://www.udemy.com/course/actor-cr...
Curiosity Driven Deep Reinforcement Learning
https://www.udemy.com/course/curiosit...
Natural Language Processing from First Principles:
https://www.udemy.com/course/natural-...
Reinforcement Learning Fundamentals
https://www.manning.com/livevideo/rei...
Here are some books / courses I recommend (affiliate links):
Grokking Deep Learning in Motion: https://bit.ly/3fXHy8W
Grokking Deep Learning: https://bit.ly/3yJ14gT
Grokking Deep Reinforcement Learning: https://bit.ly/2VNAXql
Come hang out on Discord here:
Discord: discord
Need personalized tutoring? Help on a programming project? Shoot me an email! [email protected]
Website: https://www.neuralnet.ai
Github: https://github.com/philtabor
Twitter: Twitter: MLWithPhil
4 سال پیش
در تاریخ 1399/01/07 منتشر شده
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