You're reading from TensorFlow 2 Reinforcement Learning Cookbook

Product typeBook

Published inJan 2021

Reading LevelExpert

PublisherPackt

ISBN-139781838982546

Edition1st Edition

Languages

Python

Tools

TensorFlow

Concepts

Reinforcement Learning

Author (1)

Palanisamy P

Implementing the Deep Q-Learning algorithm, DQN, and Double-DQN agent

DQN agent uses a deep neural network to learn the Q-value function. DQN has shown itself to be a powerful algorithm for discrete action-space environments and problems and is considered to be a notable milestone in the history of deep reinforcement learning when DQN mastered Atari Games.

The Double-DQN agent uses two identical deep neural networks that are updated differently and so hold different weights. The second neural network is a copy of the main neural network from some time in the past (typically from the last episode).

By the end of this recipe, you will have implemented a complete DQN and Double-DQN agent from scratch using TensorFlow 2.x that is ready to be trained in any discrete action-space RL environment.

Let's get started.

Getting ready

To complete this recipe, you will first need to activate the tf2rl-cookbook Conda Python virtual environment and pip install -r requirements...

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TensorFlow 2 Reinforcement Learning Cookbook

Published in: Jan 2021Publisher: PacktISBN-13: 9781838982546

Author (1)

Palanisamy P

Praveen Palanisamy works on developing autonomous intelligent systems. He is currently an AI researcher at General Motors R&D. He develops planning and decision-making algorithms and systems that use deep reinforcement learning for autonomous driving. Previously, he was at the Robotics Institute, Carnegie Mellon University, where he worked on autonomous navigation, including perception and AI for mobile robots. He has experience developing complete, autonomous, robotic systems from scratch.
Read more about Palanisamy P

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You're reading from TensorFlow 2 Reinforcement Learning Cookbook

Implementing the Deep Q-Learning algorithm, DQN, and Double-DQN agent

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Author (1)

Hands-On Intelligent Agents with OpenAI Gym

TensorFlow Reinforcement Learning Quick Start Guide

Deep Reinforcement Learning with Python

Hands-On Reinforcement Learning with Python

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Reinforcement Learning Algorithms with Python

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Deep Reinforcement Learning Hands-On

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