From baf2e59d3759c3bd322eee8cd29541f4756c0695 Mon Sep 17 00:00:00 2001
From: Geoffery Beamish Step 1: What is Deep Reinforcement Learning?
You'll learn the latests improvments in Deep Q Learning (Dueling Double DQN, Prioritized Experience Replay and fixed q-targets) and how to implement them with Tensorflow.
+You'll learn the latests improvements in Deep Q Learning (Dueling Double DQN, Prioritized Experience Replay and fixed q-targets) and how to implement them with Tensorflow.
From 096a2c998081b9cdf09dfa19047148bfb6d7ef8d Mon Sep 17 00:00:00 2001 From: Geoffery BeamishSome of the agents you'll implement during this course:
- This course is a series of articles and videos where you'll master the skills and architectures you need, to
- become a deep reinforcement learning expert.
-
- You'll build a strong professional portfolio by implementing awesome agents with Tensorflow that
- learns to play Space invaders, Doom, Sonic the hedgehog and more!
-
This course is a series of articles and videos where you'll master the skills and architectures you need,
+ to
+ become a deep reinforcement learning expert.
+
+ You'll build a strong professional portfolio by implementing awesome agents with Tensorflow that
+ learns to play Space invaders, Doom, Sonic the hedgehog and more!
+
You'll learn all the essentials concepts you need to master before diving on the Deep Reinforcement Learning algorithms. -
You'll learn all the essentials concepts you need to master before diving on the Deep Reinforcement + Learning algorithms. +
You'll learn the Q-learning algorithm and how to implement it with Numpy.
- +You'll learn the Q-learning algorithm and how to implement it with Numpy.
+You'll learn how to implement the Q-learning algorithm with Numpy.
-You'll learn how to implement the Q-learning algorithm with Numpy.
+You'll learn the Deep Q Learning algorithm and how to implement it with Tensorflow.
- +You'll learn the Deep Q Learning algorithm and how to implement it with Tensorflow.
+You'll learn the latests improvements in Deep Q Learning (Dueling Double DQN, Prioritized Experience Replay and fixed q-targets) and how to implement them with Tensorflow.
- +You'll learn the latests improvements in Deep Q Learning (Dueling Double DQN, Prioritized Experience + Replay and fixed q-targets) and how to implement them with Tensorflow.
+You'll learn the latests improvements in Deep Q Learning (Dueling Double DQN, Prioritized Experience Replay and fixed q-targets) and how to implement them with Tensorflow.
-You'll learn the latests improvements in Deep Q Learning (Dueling Double DQN, Prioritized Experience + Replay and fixed q-targets) and how to implement them with Tensorflow.
+In this article you'll learn about Policy gradients and how to implement it with Tensorflow.
- +In this article you'll learn about Policy gradients and how to implement it with Tensorflow.
+You'll learn the Actor Critic's logic and how to implement an A2C agent that plays Sonic the Hedgehog with Tensorflow.
- +You'll learn the Actor Critic's logic and how to implement an A2C agent that plays Sonic the Hedgehog + with Tensorflow.
+You'll learn PPO how to implement it with Tensorflow.
- +You'll learn PPO how to implement it with Tensorflow.
+Clapping in Medium means that you really like our articles. And the more claps we have, the more our article is shared
+Clapping in Medium means that you really like our articles. And the more claps we have, the more our + article is shared
Liking our videos help them to be much more visible to the deep learning community
By sharing our articles and videos you help us to spread the word.
2018, SIMONINI Thomas
-2018, SIMONINI Thomas
+ - + + + + + - - - - - + - - +