Double DQN with TensorFlow 2 and TF-Agents

Double DQN with TensorFlow 2 and TF-Agents

In the previous articles, we covered major reinforcement learning topics. They paved a path to this article which combines those topics under a single umbrella. As a reminder, we talked a lot about the main reinforcement learning elements and how deep learning is used...
This Week in AI – Issue #2

This Week in AI – Issue #2

Every week we bring to you best AI research papers, articles and videos that we have found interesting, cool or simply weird that week. Have fun! Research Papers Explainable AI for Trees: From Local Explanations to Global Understanding Plato Dialogue System : A...
Double Q-Learning Python and Open AI

Double Q-Learning Python and Open AI

In the previous couple of articles, we explored reinforcement learning ecosystem, how it can be described and how it functions. Reinforcement learning is a type of learning that is different from supervised and unsupervised learning. Unlike the mentioned approaches,...
This Week in AI – Issue #1

This Week in AI – Issue #1

Every week we bring to you best research papers, articles and videos that we have found interesting that week. Have fun! Research Papers An Adversarial Approach for the Robust Classification of Pneumonia from Chest Radiographs DeeperForensics-1.0: A Large-Scale...
Introduction to Double Q-Learning

Introduction to Double Q-Learning

Reinforcement learning is field that keeps growing and not only because of the breakthroughs in deep learning. Sure if we talk about deep reinforcement learning, it uses neural networks underneath, but there is more to it than that. In our journey through the world of...
Artificial Intelligence – What Is Next?

Artificial Intelligence – What Is Next?

Ghost of AI Past As we are all quite aware, artificial intelligence has been a topic of many books, comics, movies, and everything, pretty much from the moment the ‘machine’ stepped into place – perhaps correlating with the Industrial revolution. Industrial...
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